GeislingerProject/models/yolov10n_e300_openvino_model/best.xml
2024-11-15 08:34:08 +01:00

10827 lines
303 KiB
XML

<?xml version="1.0"?>
<net name="Model0" version="11">
<layers>
<layer id="0" name="x" type="Parameter" version="opset1">
<data shape="1,3,640,640" element_type="f32" />
<output>
<port id="0" precision="FP32" names="x">
<dim>1</dim>
<dim>3</dim>
<dim>640</dim>
<dim>640</dim>
</port>
</output>
</layer>
<layer id="1" name="__module.model.23/aten::unsqueeze/Unsqueeze" type="Const" version="opset1">
<data element_type="f32" shape="1, 2, 8400" offset="0" size="67200" />
<output>
<port id="0" precision="FP32" names="1409,anchor_points">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="2" name="self.model.0.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="16, 3, 3, 3" offset="67200" size="1728" />
<output>
<port id="0" precision="FP32" names="self.model.0.conv.weight">
<dim>16</dim>
<dim>3</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="3" name="__module.model.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>3</dim>
<dim>640</dim>
<dim>640</dim>
</port>
<port id="1" precision="FP32">
<dim>16</dim>
<dim>3</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>320</dim>
<dim>320</dim>
</port>
</output>
</layer>
<layer id="4" name="__module.model.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 16, 1, 1" offset="68928" size="64" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="5" name="__module.model.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>320</dim>
<dim>320</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="93_1">
<dim>1</dim>
<dim>16</dim>
<dim>320</dim>
<dim>320</dim>
</port>
</output>
</layer>
<layer id="6" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>320</dim>
<dim>320</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="93,input.1">
<dim>1</dim>
<dim>16</dim>
<dim>320</dim>
<dim>320</dim>
</port>
</output>
</layer>
<layer id="7" name="self.model.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="32, 16, 3, 3" offset="68992" size="18432" />
<output>
<port id="0" precision="FP32" names="self.model.1.conv.weight">
<dim>32</dim>
<dim>16</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="8" name="__module.model.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>320</dim>
<dim>320</dim>
</port>
<port id="1" precision="FP32">
<dim>32</dim>
<dim>16</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="9" name="__module.model.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 32, 1, 1" offset="87424" size="128" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="10" name="__module.model.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="107_1">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="11" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_1" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="107,input.5">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="12" name="self.model.2.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="32, 32, 1, 1" offset="87552" size="4096" />
<output>
<port id="0" precision="FP32" names="self.model.2.cv1.conv.weight">
<dim>32</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="13" name="__module.model.2.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1" precision="FP32">
<dim>32</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="14" name="__module.model.2.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 32, 1, 1" offset="91648" size="128" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="15" name="__module.model.2.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="125_1">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="16" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_2" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="125,input.9">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="17" name="113" type="Const" version="opset1">
<data element_type="i64" shape="" offset="91776" size="8" />
<output>
<port id="0" precision="I64" names="113" />
</output>
</layer>
<layer id="18" name="Constant_216" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="91784" size="16" />
<output>
<port id="0" precision="I64" names="127">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="19" name="__module.model.2/prim::ListUnpack" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="129">
<dim>1</dim>
<dim>16</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="4" precision="FP32" names="130,input.11">
<dim>1</dim>
<dim>16</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="20" name="self.model.2.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="16, 16, 3, 3" offset="91800" size="9216" />
<output>
<port id="0" precision="FP32" names="self.model.2.m.0.cv1.conv.weight">
<dim>16</dim>
<dim>16</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="21" name="__module.model.2.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1" precision="FP32">
<dim>16</dim>
<dim>16</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="22" name="__module.model.2.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 16, 1, 1" offset="101016" size="64" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="23" name="__module.model.2.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="140_1">
<dim>1</dim>
<dim>16</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="24" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_3" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="140,input.13">
<dim>1</dim>
<dim>16</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="25" name="self.model.2.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="16, 16, 3, 3" offset="101080" size="9216" />
<output>
<port id="0" precision="FP32" names="self.model.2.m.0.cv2.conv.weight">
<dim>16</dim>
<dim>16</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="26" name="__module.model.2.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1" precision="FP32">
<dim>16</dim>
<dim>16</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="27" name="__module.model.2.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 16, 1, 1" offset="110296" size="64" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="28" name="__module.model.2.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="149_1">
<dim>1</dim>
<dim>16</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="29" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_4" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="149,input.17">
<dim>1</dim>
<dim>16</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="30" name="__module.model.2.m.0/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="151">
<dim>1</dim>
<dim>16</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="31" name="__module.model.2/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="153,input.19">
<dim>1</dim>
<dim>48</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="32" name="self.model.2.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="32, 48, 1, 1" offset="110360" size="6144" />
<output>
<port id="0" precision="FP32" names="self.model.2.cv2.conv.weight">
<dim>32</dim>
<dim>48</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="33" name="__module.model.2.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>48</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1" precision="FP32">
<dim>32</dim>
<dim>48</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="34" name="__module.model.2.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 32, 1, 1" offset="116504" size="128" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="35" name="__module.model.2.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="161_1">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="36" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_5" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="161,input.21">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
</output>
</layer>
<layer id="37" name="self.model.3.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 32, 3, 3" offset="116632" size="73728" />
<output>
<port id="0" precision="FP32" names="self.model.3.conv.weight">
<dim>64</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="38" name="__module.model.3.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>160</dim>
<dim>160</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="39" name="__module.model.3.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="190360" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="40" name="__module.model.3.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="175_1">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="41" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_6" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="175,input.25">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="42" name="self.model.4.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 1, 1" offset="190616" size="16384" />
<output>
<port id="0" precision="FP32" names="self.model.4.cv1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="43" name="__module.model.4.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="44" name="__module.model.4.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="207000" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="45" name="__module.model.4.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="195_1">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="46" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_7" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="195,input.29">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="47" name="181" type="Const" version="opset1">
<data element_type="i64" shape="" offset="91776" size="8" />
<output>
<port id="0" precision="I64" names="181" />
</output>
</layer>
<layer id="48" name="Constant_475" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="207256" size="16" />
<output>
<port id="0" precision="I64" names="197">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="49" name="__module.model.4/prim::ListUnpack" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="199">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="4" precision="FP32" names="200,input.31">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="50" name="self.model.4.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="32, 32, 3, 3" offset="207272" size="36864" />
<output>
<port id="0" precision="FP32" names="self.model.4.m.0.cv1.conv.weight">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="51" name="__module.model.4.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="52" name="__module.model.4.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 32, 1, 1" offset="244136" size="128" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="53" name="__module.model.4.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="210_1">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="54" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_8" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="210,input.33">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="55" name="self.model.4.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="32, 32, 3, 3" offset="244264" size="36864" />
<output>
<port id="0" precision="FP32" names="self.model.4.m.0.cv2.conv.weight">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="56" name="__module.model.4.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="57" name="__module.model.4.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 32, 1, 1" offset="281128" size="128" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="58" name="__module.model.4.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="219_1">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="59" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_9" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="219,input.37">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="60" name="__module.model.4.m.0/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="221,input.39">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="61" name="self.model.4.m.1.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="32, 32, 3, 3" offset="281256" size="36864" />
<output>
<port id="0" precision="FP32" names="self.model.4.m.1.cv1.conv.weight">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="62" name="__module.model.4.m.1.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="63" name="__module.model.4.m.1.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 32, 1, 1" offset="318120" size="128" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="64" name="__module.model.4.m.1.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="231_1">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="65" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_10" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="231,input.41">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="66" name="self.model.4.m.1.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="32, 32, 3, 3" offset="318248" size="36864" />
<output>
<port id="0" precision="FP32" names="self.model.4.m.1.cv2.conv.weight">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="67" name="__module.model.4.m.1.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="68" name="__module.model.4.m.1.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 32, 1, 1" offset="355112" size="128" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="69" name="__module.model.4.m.1.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="240_1">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="70" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_11" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="240,input.45">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="71" name="__module.model.4.m.1/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="242">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="72" name="__module.model.4/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="3" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="4" precision="FP32" names="244,input.47">
<dim>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="73" name="self.model.4.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 128, 1, 1" offset="355240" size="32768" />
<output>
<port id="0" precision="FP32" names="self.model.4.cv2.conv.weight">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="74" name="__module.model.4.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="75" name="__module.model.4.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="388008" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="76" name="__module.model.4.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="252_1">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="77" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_12" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="252,input.49">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="78" name="self.model.5.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 64, 1, 1" offset="388264" size="32768" />
<output>
<port id="0" precision="FP32" names="self.model.5.cv1.conv.weight">
<dim>128</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="79" name="__module.model.5.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="80" name="__module.model.5.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="421032" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="81" name="__module.model.5.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="270_1">
<dim>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="82" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_13" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="270,input.53">
<dim>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="83" name="__module.model.5.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="128, 1, 1, 3, 3" offset="421544" size="4608" />
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="84" name="__module.model.5.cv2.conv/aten::_convolution/GroupConvolution" type="GroupConvolution" version="opset1">
<data strides="2, 2" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="85" name="__module.model.5.cv2.conv/aten::_convolution/Reshape_1" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="426152" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="86" name="__module.model.5.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="280,input.57">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="87" name="self.model.6.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 1, 1" offset="426664" size="65536" />
<output>
<port id="0" precision="FP32" names="self.model.6.cv1.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="88" name="__module.model.6.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="89" name="__module.model.6.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="492200" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="90" name="__module.model.6.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="299_1">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="91" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_14" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="299,input.59">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="92" name="285" type="Const" version="opset1">
<data element_type="i64" shape="" offset="91776" size="8" />
<output>
<port id="0" precision="I64" names="285" />
</output>
</layer>
<layer id="93" name="Constant_936" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="492712" size="16" />
<output>
<port id="0" precision="I64" names="301">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="94" name="__module.model.6/prim::ListUnpack" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="303">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="4" precision="FP32" names="304,input.61">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="95" name="self.model.6.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="492728" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.6.m.0.cv1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="96" name="__module.model.6.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="97" name="__module.model.6.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="640184" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="98" name="__module.model.6.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="314_1">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="99" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_15" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="314,input.63">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="100" name="self.model.6.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="640440" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.6.m.0.cv2.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="101" name="__module.model.6.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="102" name="__module.model.6.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="787896" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="103" name="__module.model.6.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="323_1">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="104" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_16" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="323,input.67">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="105" name="__module.model.6.m.0/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="325,input.69">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="106" name="self.model.6.m.1.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="788152" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.6.m.1.cv1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="107" name="__module.model.6.m.1.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="108" name="__module.model.6.m.1.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="935608" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="109" name="__module.model.6.m.1.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="335_1">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="110" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_17" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="335,input.71">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="111" name="self.model.6.m.1.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="935864" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.6.m.1.cv2.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="112" name="__module.model.6.m.1.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="113" name="__module.model.6.m.1.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="1083320" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="114" name="__module.model.6.m.1.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="344_1">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="115" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_18" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="344,input.75">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="116" name="__module.model.6.m.1/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="346">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="117" name="__module.model.6/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="3" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="4" precision="FP32" names="348,input.77">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="118" name="self.model.6.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 256, 1, 1" offset="1083576" size="131072" />
<output>
<port id="0" precision="FP32" names="self.model.6.cv2.conv.weight">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="119" name="__module.model.6.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="120" name="__module.model.6.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="1214648" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="121" name="__module.model.6.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="356_1">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="122" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_19" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="356,input.79">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="123" name="self.model.7.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 128, 1, 1" offset="1215160" size="131072" />
<output>
<port id="0" precision="FP32" names="self.model.7.cv1.conv.weight">
<dim>256</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="124" name="__module.model.7.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="125" name="__module.model.7.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="1346232" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="126" name="__module.model.7.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="374_1">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="127" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_20" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="374,input.83">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="128" name="__module.model.7.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="256, 1, 1, 3, 3" offset="1347256" size="9216" />
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="129" name="__module.model.7.cv2.conv/aten::_convolution/GroupConvolution" type="GroupConvolution" version="opset1">
<data strides="2, 2" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="130" name="__module.model.7.cv2.conv/aten::_convolution/Reshape_1" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="1356472" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="131" name="__module.model.7.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="384,input.87">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="132" name="self.model.8.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 256, 1, 1" offset="1357496" size="262144" />
<output>
<port id="0" precision="FP32" names="self.model.8.cv1.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="133" name="__module.model.8.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="134" name="__module.model.8.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="1619640" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="135" name="__module.model.8.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="401_1">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="136" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_21" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="401,input.89">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="137" name="389" type="Const" version="opset1">
<data element_type="i64" shape="" offset="91776" size="8" />
<output>
<port id="0" precision="I64" names="389" />
</output>
</layer>
<layer id="138" name="Constant_1395" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="1620664" size="16" />
<output>
<port id="0" precision="I64" names="403">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="139" name="__module.model.8/prim::ListUnpack" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="405">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="4" precision="FP32" names="406,input.91">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="140" name="self.model.8.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="1620680" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.8.m.0.cv1.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="141" name="__module.model.8.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="142" name="__module.model.8.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="2210504" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="143" name="__module.model.8.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="416_1">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="144" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_22" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="416,input.93">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="145" name="self.model.8.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 3, 3" offset="2211016" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.8.m.0.cv2.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="146" name="__module.model.8.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="147" name="__module.model.8.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="2800840" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="148" name="__module.model.8.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="425_1">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="149" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_23" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="425,input.97">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="150" name="__module.model.8.m.0/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="427">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="151" name="__module.model.8/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="429,input.99">
<dim>1</dim>
<dim>384</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="152" name="self.model.8.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 384, 1, 1" offset="2801352" size="393216" />
<output>
<port id="0" precision="FP32" names="self.model.8.cv2.conv.weight">
<dim>256</dim>
<dim>384</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="153" name="__module.model.8.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>384</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>384</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="154" name="__module.model.8.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="3194568" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="155" name="__module.model.8.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="437_1">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="156" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_24" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="437,input.101">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="157" name="self.model.9.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 256, 1, 1" offset="3195592" size="131072" />
<output>
<port id="0" precision="FP32" names="self.model.9.cv1.conv.weight">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="158" name="__module.model.9.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="159" name="__module.model.9.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="3326664" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="160" name="__module.model.9.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="455_1">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="161" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_25" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="455,input.105">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="162" name="__module.model.9.m/aten::max_pool2d/MaxPool" type="MaxPool" version="opset14">
<data strides="1, 1" dilations="1, 1" pads_begin="2, 2" pads_end="2, 2" kernel="5, 5" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="2" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="461,input.109">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="2" precision="I64">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="163" name="__module.model.9.m/aten::max_pool2d/MaxPool_1" type="MaxPool" version="opset14">
<data strides="1, 1" dilations="1, 1" pads_begin="2, 2" pads_end="2, 2" kernel="5, 5" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="2" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="466,input.111">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="2" precision="I64">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="164" name="__module.model.9.m/aten::max_pool2d/MaxPool_2" type="MaxPool" version="opset14">
<data strides="1, 1" dilations="1, 1" pads_begin="2, 2" pads_end="2, 2" kernel="5, 5" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="2" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="471">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="2" precision="I64">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="165" name="__module.model.9/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="3" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="4" precision="FP32" names="473,input.113">
<dim>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="166" name="self.model.9.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 512, 1, 1" offset="3327176" size="524288" />
<output>
<port id="0" precision="FP32" names="self.model.9.cv2.conv.weight">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="167" name="__module.model.9.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>512</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>512</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="168" name="__module.model.9.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="3851464" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="169" name="__module.model.9.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="481_1">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="170" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_26" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="481,input.115">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="171" name="self.model.10.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 256, 1, 1" offset="3852488" size="262144" />
<output>
<port id="0" precision="FP32" names="self.model.10.cv1.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="172" name="__module.model.10.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="173" name="__module.model.10.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="4114632" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="174" name="__module.model.10.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="507_1">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="175" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_27" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="507,input.119">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="176" name="495" type="Const" version="opset1">
<data element_type="i64" shape="" offset="91776" size="8" />
<output>
<port id="0" precision="I64" names="495" />
</output>
</layer>
<layer id="177" name="Constant_1775" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="1620664" size="16" />
<output>
<port id="0" precision="I64" names="509">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="178" name="__module.model.10/prim::ListUnpack" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="511,a.1">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="4" precision="FP32" names="512,x.3">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="179" name="self.model.10.attn.qkv.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 128, 1, 1" offset="4115656" size="131072" />
<output>
<port id="0" precision="FP32" names="self.model.10.attn.qkv.conv.weight">
<dim>256</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="180" name="__module.model.10.attn.qkv.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="181" name="__module.model.10.attn.qkv.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="4246728" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="182" name="__module.model.10.attn.qkv.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="531,qkv.1">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="183" name="Constant_14179" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="4247752" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="184" name="__module.model.10.attn/aten::view/Reshape" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="533">
<dim>1</dim>
<dim>2</dim>
<dim>128</dim>
<dim>400</dim>
</port>
</output>
</layer>
<layer id="185" name="483" type="Const" version="opset1">
<data element_type="i64" shape="" offset="4247784" size="8" />
<output>
<port id="0" precision="I64" names="483" />
</output>
</layer>
<layer id="186" name="Constant_1921" type="Const" version="opset1">
<data element_type="i64" shape="3" offset="4247792" size="24" />
<output>
<port id="0" precision="I64" names="534">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="187" name="__module.model.10.attn/prim::ListUnpack" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>128</dim>
<dim>400</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>3</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="536,q">
<dim>1</dim>
<dim>2</dim>
<dim>32</dim>
<dim>400</dim>
</port>
<port id="4" precision="FP32" names="537,k">
<dim>1</dim>
<dim>2</dim>
<dim>32</dim>
<dim>400</dim>
</port>
<port id="5" precision="FP32" names="538,v">
<dim>1</dim>
<dim>2</dim>
<dim>64</dim>
<dim>400</dim>
</port>
</output>
</layer>
<layer id="188" name="Constant_13930" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="4247816" size="4" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="189" name="Multiply_13868" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>32</dim>
<dim>400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>32</dim>
<dim>400</dim>
</port>
</output>
</layer>
<layer id="190" name="__module.model.10.attn/aten::mul/Multiply_1" type="MatMul" version="opset1">
<data transpose_a="true" transpose_b="false" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>32</dim>
<dim>400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>32</dim>
<dim>400</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="541,attn.1">
<dim>1</dim>
<dim>2</dim>
<dim>400</dim>
<dim>400</dim>
</port>
</output>
</layer>
<layer id="191" name="__module.model.10.attn/aten::softmax/Softmax" type="SoftMax" version="opset8">
<data axis="-1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>400</dim>
<dim>400</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="542,attn.3">
<dim>1</dim>
<dim>2</dim>
<dim>400</dim>
<dim>400</dim>
</port>
</output>
</layer>
<layer id="192" name="__module.model.10.attn/aten::matmul/MatMul_1" type="MatMul" version="opset1">
<data transpose_a="false" transpose_b="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>64</dim>
<dim>400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>400</dim>
<dim>400</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="544">
<dim>1</dim>
<dim>2</dim>
<dim>64</dim>
<dim>400</dim>
</port>
</output>
</layer>
<layer id="193" name="__module.model.10.attn/aten::size/ShapeOf" type="ShapeOf" version="opset3">
<data output_type="i64" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="I64" names="545,547">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="194" name="__module.model.10.attn/aten::view/Reshape_1" type="Reshape" version="opset1">
<data special_zero="false" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>64</dim>
<dim>400</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="546">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="195" name="__module.model.10.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
<data special_zero="false" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>64</dim>
<dim>400</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="548,input.121">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="196" name="__module.model.10.attn.pe.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="128, 1, 1, 3, 3" offset="4247820" size="4608" />
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="197" name="__module.model.10.attn.pe.conv/aten::_convolution/GroupConvolution" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="198" name="__module.model.10.attn.pe.conv/aten::_convolution/Reshape_1" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="4252428" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="199" name="__module.model.10.attn.pe.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="556">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="200" name="__module.model.10.attn/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="557,input.123">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="201" name="self.model.10.attn.proj.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 1, 1" offset="4252940" size="65536" />
<output>
<port id="0" precision="FP32" names="self.model.10.attn.proj.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="202" name="__module.model.10.attn.proj.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="203" name="__module.model.10.attn.proj.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="4318476" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="204" name="__module.model.10.attn.proj.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="565">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="205" name="__module.model.10/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="566,input.125">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="206" name="self.model.10.ffn.0.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 128, 1, 1" offset="4318988" size="131072" />
<output>
<port id="0" precision="FP32" names="self.model.10.ffn.0.conv.weight">
<dim>256</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="207" name="__module.model.10.ffn.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="208" name="__module.model.10.ffn.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="4450060" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="209" name="__module.model.10.ffn.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="576_1">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="210" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_28" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="576,input.127">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="211" name="self.model.10.ffn.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 256, 1, 1" offset="4451084" size="131072" />
<output>
<port id="0" precision="FP32" names="self.model.10.ffn.1.conv.weight">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="212" name="__module.model.10.ffn.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="213" name="__module.model.10.ffn.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="4582156" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="214" name="__module.model.10.ffn.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="586">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="215" name="__module.model.10/aten::add/Add_1" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="587,b.1">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="216" name="__module.model.10/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="589,input.131">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="217" name="self.model.10.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 256, 1, 1" offset="4582668" size="262144" />
<output>
<port id="0" precision="FP32" names="self.model.10.cv2.conv.weight">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="218" name="__module.model.10.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="219" name="__module.model.10.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="4844812" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="220" name="__module.model.10.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="597_1">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="221" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_29" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="597,input.133">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="222" name="__module.model.11/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
<data element_type="f32" shape="2" offset="4845836" size="8" />
<output>
<port id="0" precision="FP32">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="223" name="Constant_2373" type="Const" version="opset1">
<data element_type="i32" shape="2" offset="4845844" size="8" />
<output>
<port id="0" precision="I32">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="224" name="__module.model.11/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>2</dim>
</port>
<port id="2" precision="I32">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="602">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="225" name="__module.model.12/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="605,input.137">
<dim>1</dim>
<dim>384</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="226" name="self.model.13.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 384, 1, 1" offset="4845852" size="196608" />
<output>
<port id="0" precision="FP32" names="self.model.13.cv1.conv.weight">
<dim>128</dim>
<dim>384</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="227" name="__module.model.13.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>384</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>384</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="228" name="__module.model.13.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="5042460" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="229" name="__module.model.13.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="622_1">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="230" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_30" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="622,input.139">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="231" name="610" type="Const" version="opset1">
<data element_type="i64" shape="" offset="91776" size="8" />
<output>
<port id="0" precision="I64" names="610" />
</output>
</layer>
<layer id="232" name="Constant_2446" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="492712" size="16" />
<output>
<port id="0" precision="I64" names="624">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="233" name="__module.model.13/prim::ListUnpack" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="626">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="4" precision="FP32" names="627,input.141">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="234" name="self.model.13.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="5042972" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.13.m.0.cv1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="235" name="__module.model.13.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="236" name="__module.model.13.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="5190428" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="237" name="__module.model.13.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="637_1">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="238" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_31" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="637,input.143">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="239" name="self.model.13.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="5190684" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.13.m.0.cv2.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="240" name="__module.model.13.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="241" name="__module.model.13.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="5338140" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="242" name="__module.model.13.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="646_1">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="243" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_32" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="646,input.147">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="244" name="__module.model.13/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="649,input.149">
<dim>1</dim>
<dim>192</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="245" name="self.model.13.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 192, 1, 1" offset="5338396" size="98304" />
<output>
<port id="0" precision="FP32" names="self.model.13.cv2.conv.weight">
<dim>128</dim>
<dim>192</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="246" name="__module.model.13.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>192</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>192</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="247" name="__module.model.13.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="5436700" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="248" name="__module.model.13.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="657_1">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="249" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_33" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="657,input.151">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="250" name="__module.model.14/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
<data element_type="f32" shape="2" offset="4845836" size="8" />
<output>
<port id="0" precision="FP32">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="251" name="Constant_2596" type="Const" version="opset1">
<data element_type="i32" shape="2" offset="4845844" size="8" />
<output>
<port id="0" precision="I32">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="252" name="__module.model.14/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>2</dim>
</port>
<port id="2" precision="I32">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="662">
<dim>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="253" name="__module.model.15/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="665,input.155">
<dim>1</dim>
<dim>192</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="254" name="self.model.16.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 192, 1, 1" offset="5437212" size="49152" />
<output>
<port id="0" precision="FP32" names="self.model.16.cv1.conv.weight">
<dim>64</dim>
<dim>192</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="255" name="__module.model.16.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>192</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>192</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="256" name="__module.model.16.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="5486364" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="257" name="__module.model.16.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="682_1">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="258" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_34" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="682,input.157">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="259" name="670" type="Const" version="opset1">
<data element_type="i64" shape="" offset="91776" size="8" />
<output>
<port id="0" precision="I64" names="670" />
</output>
</layer>
<layer id="260" name="Constant_2669" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="207256" size="16" />
<output>
<port id="0" precision="I64" names="684">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="261" name="__module.model.16/prim::ListUnpack" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="686">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="4" precision="FP32" names="687,input.159">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="262" name="self.model.16.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="32, 32, 3, 3" offset="5486620" size="36864" />
<output>
<port id="0" precision="FP32" names="self.model.16.m.0.cv1.conv.weight">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="263" name="__module.model.16.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="264" name="__module.model.16.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 32, 1, 1" offset="5523484" size="128" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="265" name="__module.model.16.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="697_1">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="266" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_35" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="697,input.161">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="267" name="self.model.16.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="32, 32, 3, 3" offset="5523612" size="36864" />
<output>
<port id="0" precision="FP32" names="self.model.16.m.0.cv2.conv.weight">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="268" name="__module.model.16.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>32</dim>
<dim>32</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="269" name="__module.model.16.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 32, 1, 1" offset="5560476" size="128" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="270" name="__module.model.16.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="706_1">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="271" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_36" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="706,input.165">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="272" name="__module.model.16/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>32</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="709,input.167">
<dim>1</dim>
<dim>96</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="273" name="self.model.16.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 96, 1, 1" offset="5560604" size="24576" />
<output>
<port id="0" precision="FP32" names="self.model.16.cv2.conv.weight">
<dim>64</dim>
<dim>96</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="274" name="__module.model.16.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>96</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>96</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="275" name="__module.model.16.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="5585180" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="276" name="__module.model.16.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="717_1">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="277" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_37" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="717,input.169">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="278" name="self.model.23.one2one_cv2.0.0.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="5585436" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.23.one2one_cv2.0.0.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="279" name="__module.model.23.one2one_cv2.0.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="280" name="__module.model.23.one2one_cv2.0.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="5732892" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="281" name="__module.model.23.one2one_cv2.0.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="965_1">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="282" name="__module.model.23.one2one_cv2.2.1.act/aten::silu_/Swish" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="965,input.227">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="283" name="self.model.23.one2one_cv2.0.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="5733148" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.23.one2one_cv2.0.1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="284" name="__module.model.23.one2one_cv2.0.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="285" name="__module.model.23.one2one_cv2.0.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="5880604" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="286" name="__module.model.23.one2one_cv2.0.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="974_1">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="287" name="__module.model.23.one2one_cv2.2.1.act/aten::silu_/Swish_1" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="974,input.231">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="288" name="self.model.23.one2one_cv2.0.2.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 1, 1" offset="5880860" size="16384" />
<output>
<port id="0" precision="FP32" names="self.model.23.one2one_cv2.0.2.weight">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="289" name="__module.model.23.one2one_cv2.0.2/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="290" name="__module.model.23.one2one_cv2.0.2/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="5897244" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="291" name="__module.model.23.one2one_cv2.0.2/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="982">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="292" name="__module.model.23.one2one_cv3.0.0.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="64, 1, 1, 3, 3" offset="5897500" size="2304" />
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="293" name="__module.model.23.one2one_cv3.0.0.0.conv/aten::_convolution/GroupConvolution" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="294" name="__module.model.23.one2one_cv3.0.0.0.conv/aten::_convolution/Reshape_1" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="5899804" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="295" name="__module.model.23.one2one_cv3.0.0.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="995_1">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="296" name="__module.model.23.one2one_cv3.2.1.1.act/aten::silu_/Swish" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="995,input.235">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="297" name="self.model.23.one2one_cv3.0.0.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 1, 1" offset="5900060" size="16384" />
<output>
<port id="0" precision="FP32" names="self.model.23.one2one_cv3.0.0.1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="298" name="__module.model.23.one2one_cv3.0.0.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="299" name="__module.model.23.one2one_cv3.0.0.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="5916444" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="300" name="__module.model.23.one2one_cv3.0.0.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1004_1">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="301" name="__module.model.23.one2one_cv3.2.1.1.act/aten::silu_/Swish_1" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1004,input.239">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="302" name="__module.model.23.one2one_cv3.0.1.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="64, 1, 1, 3, 3" offset="5916700" size="2304" />
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="303" name="__module.model.23.one2one_cv3.0.1.0.conv/aten::_convolution/GroupConvolution" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="304" name="__module.model.23.one2one_cv3.0.1.0.conv/aten::_convolution/Reshape_1" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="5919004" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="305" name="__module.model.23.one2one_cv3.0.1.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1015_1">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="306" name="__module.model.23.one2one_cv3.2.1.1.act/aten::silu_/Swish_2" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1015,input.243">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="307" name="self.model.23.one2one_cv3.0.1.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 1, 1" offset="5919260" size="16384" />
<output>
<port id="0" precision="FP32" names="self.model.23.one2one_cv3.0.1.1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="308" name="__module.model.23.one2one_cv3.0.1.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="309" name="__module.model.23.one2one_cv3.0.1.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="5935644" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="310" name="__module.model.23.one2one_cv3.0.1.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1024_1">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="311" name="__module.model.23.one2one_cv3.2.1.1.act/aten::silu_/Swish_3" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1024,input.247">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="312" name="self.model.23.one2one_cv3.0.2.weight" type="Const" version="opset1">
<data element_type="f32" shape="20, 64, 1, 1" offset="5935900" size="5120" />
<output>
<port id="0" precision="FP32" names="self.model.23.one2one_cv3.0.2.weight">
<dim>20</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="313" name="__module.model.23.one2one_cv3.0.2/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>20</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>20</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="314" name="__module.model.23.one2one_cv3.0.2/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 20, 1, 1" offset="5941020" size="80" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>20</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="315" name="__module.model.23.one2one_cv3.0.2/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>20</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>20</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1032">
<dim>1</dim>
<dim>20</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="316" name="__module.model.23/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>20</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1034,xi.3">
<dim>1</dim>
<dim>84</dim>
<dim>80</dim>
<dim>80</dim>
</port>
</output>
</layer>
<layer id="317" name="__module.model.23/prim::ListConstruct/Concat" type="Const" version="opset1">
<data element_type="i64" shape="3" offset="5941100" size="24" />
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="318" name="__module.model.23/aten::view/Reshape" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>84</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="I64">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1383">
<dim>1</dim>
<dim>84</dim>
<dim>6400</dim>
</port>
</output>
</layer>
<layer id="319" name="self.model.17.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="5941124" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.17.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="320" name="__module.model.17.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>80</dim>
<dim>80</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="321" name="__module.model.17.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="6088580" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="322" name="__module.model.17.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="731_1">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="323" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_38" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="731,input.173">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="324" name="__module.model.18/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="735,input.175">
<dim>1</dim>
<dim>192</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="325" name="self.model.19.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 192, 1, 1" offset="6088836" size="98304" />
<output>
<port id="0" precision="FP32" names="self.model.19.cv1.conv.weight">
<dim>128</dim>
<dim>192</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="326" name="__module.model.19.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>192</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>192</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="327" name="__module.model.19.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="6187140" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="328" name="__module.model.19.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="752_1">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="329" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_39" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="752,input.177">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="330" name="740" type="Const" version="opset1">
<data element_type="i64" shape="" offset="91776" size="8" />
<output>
<port id="0" precision="I64" names="740" />
</output>
</layer>
<layer id="331" name="Constant_2924" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="492712" size="16" />
<output>
<port id="0" precision="I64" names="754">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="332" name="__module.model.19/prim::ListUnpack" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="756">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="4" precision="FP32" names="757,input.179">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="333" name="self.model.19.m.0.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="6187652" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.19.m.0.cv1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="334" name="__module.model.19.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="335" name="__module.model.19.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="6335108" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="336" name="__module.model.19.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="767_1">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="337" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_40" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="767,input.181">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="338" name="self.model.19.m.0.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="6335364" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.19.m.0.cv2.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="339" name="__module.model.19.m.0.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="340" name="__module.model.19.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="6482820" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="341" name="__module.model.19.m.0.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="776_1">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="342" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_41" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="776,input.185">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="343" name="__module.model.19/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="779,input.187">
<dim>1</dim>
<dim>192</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="344" name="self.model.19.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 192, 1, 1" offset="6483076" size="98304" />
<output>
<port id="0" precision="FP32" names="self.model.19.cv2.conv.weight">
<dim>128</dim>
<dim>192</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="345" name="__module.model.19.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>192</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>192</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="346" name="__module.model.19.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="6581380" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="347" name="__module.model.19.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="787_1">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="348" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_42" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="787,input.189">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="349" name="self.model.23.one2one_cv2.1.0.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 128, 3, 3" offset="6581892" size="294912" />
<output>
<port id="0" precision="FP32" names="self.model.23.one2one_cv2.1.0.conv.weight">
<dim>64</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="350" name="__module.model.23.one2one_cv2.1.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>128</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="351" name="__module.model.23.one2one_cv2.1.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="6876804" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="352" name="__module.model.23.one2one_cv2.1.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1045_1">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="353" name="__module.model.23.one2one_cv2.2.1.act/aten::silu_/Swish_2" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1045,input.253">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="354" name="self.model.23.one2one_cv2.1.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="6877060" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.23.one2one_cv2.1.1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="355" name="__module.model.23.one2one_cv2.1.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="356" name="__module.model.23.one2one_cv2.1.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="7024516" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="357" name="__module.model.23.one2one_cv2.1.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1054_1">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="358" name="__module.model.23.one2one_cv2.2.1.act/aten::silu_/Swish_3" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1054,input.257">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="359" name="self.model.23.one2one_cv2.1.2.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 1, 1" offset="7024772" size="16384" />
<output>
<port id="0" precision="FP32" names="self.model.23.one2one_cv2.1.2.weight">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="360" name="__module.model.23.one2one_cv2.1.2/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="361" name="__module.model.23.one2one_cv2.1.2/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="7041156" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="362" name="__module.model.23.one2one_cv2.1.2/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1062">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="363" name="__module.model.23.one2one_cv3.1.0.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="128, 1, 1, 3, 3" offset="7041412" size="4608" />
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="364" name="__module.model.23.one2one_cv3.1.0.0.conv/aten::_convolution/GroupConvolution" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="365" name="__module.model.23.one2one_cv3.1.0.0.conv/aten::_convolution/Reshape_1" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="7046020" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="366" name="__module.model.23.one2one_cv3.1.0.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1075_1">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="367" name="__module.model.23.one2one_cv3.2.1.1.act/aten::silu_/Swish_4" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1075,input.261">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="368" name="self.model.23.one2one_cv3.1.0.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 128, 1, 1" offset="7046532" size="32768" />
<output>
<port id="0" precision="FP32" names="self.model.23.one2one_cv3.1.0.1.conv.weight">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="369" name="__module.model.23.one2one_cv3.1.0.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="370" name="__module.model.23.one2one_cv3.1.0.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="7079300" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="371" name="__module.model.23.one2one_cv3.1.0.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1084_1">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="372" name="__module.model.23.one2one_cv3.2.1.1.act/aten::silu_/Swish_5" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1084,input.265">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="373" name="__module.model.23.one2one_cv3.1.1.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="64, 1, 1, 3, 3" offset="7079556" size="2304" />
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="374" name="__module.model.23.one2one_cv3.1.1.0.conv/aten::_convolution/GroupConvolution" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="375" name="__module.model.23.one2one_cv3.1.1.0.conv/aten::_convolution/Reshape_1" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="7081860" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="376" name="__module.model.23.one2one_cv3.1.1.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1095_1">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="377" name="__module.model.23.one2one_cv3.2.1.1.act/aten::silu_/Swish_6" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1095,input.269">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="378" name="self.model.23.one2one_cv3.1.1.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 1, 1" offset="7082116" size="16384" />
<output>
<port id="0" precision="FP32" names="self.model.23.one2one_cv3.1.1.1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="379" name="__module.model.23.one2one_cv3.1.1.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="380" name="__module.model.23.one2one_cv3.1.1.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="7098500" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="381" name="__module.model.23.one2one_cv3.1.1.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1104_1">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="382" name="__module.model.23.one2one_cv3.2.1.1.act/aten::silu_/Swish_7" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1104,input.273">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="383" name="self.model.23.one2one_cv3.1.2.weight" type="Const" version="opset1">
<data element_type="f32" shape="20, 64, 1, 1" offset="7098756" size="5120" />
<output>
<port id="0" precision="FP32" names="self.model.23.one2one_cv3.1.2.weight">
<dim>20</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="384" name="__module.model.23.one2one_cv3.1.2/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>20</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>20</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="385" name="__module.model.23.one2one_cv3.1.2/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 20, 1, 1" offset="7103876" size="80" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>20</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="386" name="__module.model.23.one2one_cv3.1.2/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>20</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>20</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1112">
<dim>1</dim>
<dim>20</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="387" name="__module.model.23/aten::cat/Concat_1" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>20</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1114,xi.5">
<dim>1</dim>
<dim>84</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="388" name="Constant_14180" type="Const" version="opset1">
<data element_type="i64" shape="3" offset="5941100" size="24" />
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="389" name="__module.model.23/aten::view/Reshape_1" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>84</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="I64">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1385">
<dim>1</dim>
<dim>84</dim>
<dim>1600</dim>
</port>
</output>
</layer>
<layer id="390" name="self.model.20.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 128, 1, 1" offset="7103956" size="65536" />
<output>
<port id="0" precision="FP32" names="self.model.20.cv1.conv.weight">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="391" name="__module.model.20.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="392" name="__module.model.20.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="7169492" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="393" name="__module.model.20.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="805_1">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="394" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_43" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="805,input.193">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
</output>
</layer>
<layer id="395" name="__module.model.20.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="128, 1, 1, 3, 3" offset="7170004" size="4608" />
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="396" name="__module.model.20.cv2.conv/aten::_convolution/GroupConvolution" type="GroupConvolution" version="opset1">
<data strides="2, 2" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>40</dim>
<dim>40</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="397" name="__module.model.20.cv2.conv/aten::_convolution/Reshape_1" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="7174612" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="398" name="__module.model.20.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="815">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="399" name="__module.model.21/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="818,input.197">
<dim>1</dim>
<dim>384</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="400" name="self.model.22.cv1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 384, 1, 1" offset="7175124" size="393216" />
<output>
<port id="0" precision="FP32" names="self.model.22.cv1.conv.weight">
<dim>256</dim>
<dim>384</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="401" name="__module.model.22.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>384</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>384</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="402" name="__module.model.22.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="7568340" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="403" name="__module.model.22.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="837_1">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="404" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_44" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="837,input.199">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="405" name="825" type="Const" version="opset1">
<data element_type="i64" shape="" offset="91776" size="8" />
<output>
<port id="0" precision="I64" names="825" />
</output>
</layer>
<layer id="406" name="Constant_3285" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="1620664" size="16" />
<output>
<port id="0" precision="I64" names="839">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="407" name="__module.model.22/prim::ListUnpack" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="841">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="4" precision="FP32" names="842,input.201">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="408" name="__module.model.22.m.0.cv1.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="128, 1, 1, 3, 3" offset="7569364" size="4608" />
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="409" name="__module.model.22.m.0.cv1.0.conv/aten::_convolution/GroupConvolution" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="410" name="__module.model.22.m.0.cv1.0.conv/aten::_convolution/Reshape_1" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="7573972" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="411" name="__module.model.22.m.0.cv1.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="856_1">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="412" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_45" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="856,input.203">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="413" name="self.model.22.m.0.cv1.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 128, 1, 1" offset="7574484" size="131072" />
<output>
<port id="0" precision="FP32" names="self.model.22.m.0.cv1.1.conv.weight">
<dim>256</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="414" name="__module.model.22.m.0.cv1.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="415" name="__module.model.22.m.0.cv1.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="7705556" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="416" name="__module.model.22.m.0.cv1.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="865_1">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="417" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_46" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="865,input.207">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="418" name="__module.model.22.m.0.cv1.2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="256, 1, 1, 7, 7" offset="7706580" size="50176" />
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>7</dim>
<dim>7</dim>
</port>
</output>
</layer>
<layer id="419" name="__module.model.22.m.0.cv1.2.conv/aten::_convolution/GroupConvolution" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="3, 3" pads_end="3, 3" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>7</dim>
<dim>7</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="420" name="__module.model.22.m.0.cv1.2.conv/aten::_convolution/Reshape_1" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="7756756" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="421" name="__module.model.22.m.0.cv1.2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="875_1">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="422" name="__module.model.22.m.0.cv1.2.act/aten::silu_/Swish" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="875,input.211">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="423" name="self.model.22.m.0.cv1.3.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="128, 256, 1, 1" offset="7757780" size="131072" />
<output>
<port id="0" precision="FP32" names="self.model.22.m.0.cv1.3.conv.weight">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="424" name="__module.model.22.m.0.cv1.3.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="425" name="__module.model.22.m.0.cv1.3.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="7888852" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="426" name="__module.model.22.m.0.cv1.3.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="884_1">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="427" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_47" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="884,input.215">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="428" name="__module.model.22.m.0.cv1.4.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="128, 1, 1, 3, 3" offset="7889364" size="4608" />
<output>
<port id="0" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="429" name="__module.model.22.m.0.cv1.4.conv/aten::_convolution/GroupConvolution" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="430" name="__module.model.22.m.0.cv1.4.conv/aten::_convolution/Reshape_1" type="Const" version="opset1">
<data element_type="f32" shape="1, 128, 1, 1" offset="7893972" size="512" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="431" name="__module.model.22.m.0.cv1.4.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="893_1">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="432" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_48" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="893,input.219">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="433" name="__module.model.22.m.0/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="895">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="434" name="__module.model.22/aten::cat/Concat" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>128</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="897,input.221">
<dim>1</dim>
<dim>384</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="435" name="self.model.22.cv2.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="256, 384, 1, 1" offset="7894484" size="393216" />
<output>
<port id="0" precision="FP32" names="self.model.22.cv2.conv.weight">
<dim>256</dim>
<dim>384</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="436" name="__module.model.22.cv2.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>384</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>384</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="437" name="__module.model.22.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="8287700" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="438" name="__module.model.22.cv2.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="905_1">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="439" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_49" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="905,input.223">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="440" name="self.model.23.one2one_cv2.2.0.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 256, 3, 3" offset="8288724" size="589824" />
<output>
<port id="0" precision="FP32" names="self.model.23.one2one_cv2.2.0.conv.weight">
<dim>64</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="441" name="__module.model.23.one2one_cv2.2.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>256</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="442" name="__module.model.23.one2one_cv2.2.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="8878548" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="443" name="__module.model.23.one2one_cv2.2.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1125_1">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="444" name="__module.model.23.one2one_cv2.2.1.act/aten::silu_/Swish_4" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1125,input.279">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="445" name="self.model.23.one2one_cv2.2.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 3, 3" offset="8878804" size="147456" />
<output>
<port id="0" precision="FP32" names="self.model.23.one2one_cv2.2.1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="446" name="__module.model.23.one2one_cv2.2.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="447" name="__module.model.23.one2one_cv2.2.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="9026260" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="448" name="__module.model.23.one2one_cv2.2.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1134_1">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="449" name="__module.model.23.one2one_cv2.2.1.act/aten::silu_/Swish_5" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1134,input.283">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="450" name="self.model.23.one2one_cv2.2.2.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 1, 1" offset="9026516" size="16384" />
<output>
<port id="0" precision="FP32" names="self.model.23.one2one_cv2.2.2.weight">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="451" name="__module.model.23.one2one_cv2.2.2/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="452" name="__module.model.23.one2one_cv2.2.2/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="9042900" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="453" name="__module.model.23.one2one_cv2.2.2/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1142">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="454" name="__module.model.23.one2one_cv3.2.0.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="256, 1, 1, 3, 3" offset="9043156" size="9216" />
<output>
<port id="0" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="455" name="__module.model.23.one2one_cv3.2.0.0.conv/aten::_convolution/GroupConvolution" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="456" name="__module.model.23.one2one_cv3.2.0.0.conv/aten::_convolution/Reshape_1" type="Const" version="opset1">
<data element_type="f32" shape="1, 256, 1, 1" offset="9052372" size="1024" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="457" name="__module.model.23.one2one_cv3.2.0.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1155_1">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="458" name="__module.model.23.one2one_cv3.2.1.1.act/aten::silu_/Swish_8" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1155,input.287">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="459" name="self.model.23.one2one_cv3.2.0.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 256, 1, 1" offset="9053396" size="65536" />
<output>
<port id="0" precision="FP32" names="self.model.23.one2one_cv3.2.0.1.conv.weight">
<dim>64</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="460" name="__module.model.23.one2one_cv3.2.0.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>256</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>256</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="461" name="__module.model.23.one2one_cv3.2.0.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="9118932" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="462" name="__module.model.23.one2one_cv3.2.0.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1164_1">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="463" name="__module.model.23.one2one_cv3.2.1.1.act/aten::silu_/Swish_9" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1164,input.291">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="464" name="__module.model.23.one2one_cv3.2.1.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="64, 1, 1, 3, 3" offset="9119188" size="2304" />
<output>
<port id="0" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</output>
</layer>
<layer id="465" name="__module.model.23.one2one_cv3.2.1.0.conv/aten::_convolution/GroupConvolution" type="GroupConvolution" version="opset1">
<data strides="1, 1" pads_begin="1, 1" pads_end="1, 1" dilations="1, 1" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
<dim>3</dim>
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="466" name="__module.model.23.one2one_cv3.2.1.0.conv/aten::_convolution/Reshape_1" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="9121492" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="467" name="__module.model.23.one2one_cv3.2.1.0.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1175_1">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="468" name="__module.model.23.one2one_cv3.2.1.1.act/aten::silu_/Swish_10" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1175,input.295">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="469" name="self.model.23.one2one_cv3.2.1.1.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="64, 64, 1, 1" offset="9121748" size="16384" />
<output>
<port id="0" precision="FP32" names="self.model.23.one2one_cv3.2.1.1.conv.weight">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="470" name="__module.model.23.one2one_cv3.2.1.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>64</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="471" name="__module.model.23.one2one_cv3.2.1.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 64, 1, 1" offset="9138132" size="256" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="472" name="__module.model.23.one2one_cv3.2.1.1.conv/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1184_1">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="473" name="__module.model.23.one2one_cv3.2.1.1.act/aten::silu_/Swish_11" type="Swish" version="opset4">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1184,input.299">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="474" name="self.model.23.one2one_cv3.2.2.weight" type="Const" version="opset1">
<data element_type="f32" shape="20, 64, 1, 1" offset="9138388" size="5120" />
<output>
<port id="0" precision="FP32" names="self.model.23.one2one_cv3.2.2.weight">
<dim>20</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="475" name="__module.model.23.one2one_cv3.2.2/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>20</dim>
<dim>64</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>20</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="476" name="__module.model.23.one2one_cv3.2.2/aten::_convolution/Reshape" type="Const" version="opset1">
<data element_type="f32" shape="1, 20, 1, 1" offset="9143508" size="80" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>20</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="477" name="__module.model.23.one2one_cv3.2.2/aten::_convolution/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>20</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>20</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1192">
<dim>1</dim>
<dim>20</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="478" name="__module.model.23/aten::cat/Concat_2" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>20</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1194,xi">
<dim>1</dim>
<dim>84</dim>
<dim>20</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="479" name="Constant_14181" type="Const" version="opset1">
<data element_type="i64" shape="3" offset="5941100" size="24" />
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="480" name="__module.model.23/aten::view/Reshape_2" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>84</dim>
<dim>20</dim>
<dim>20</dim>
</port>
<port id="1" precision="I64">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1387">
<dim>1</dim>
<dim>84</dim>
<dim>400</dim>
</port>
</output>
</layer>
<layer id="481" name="__module.model.23/aten::cat/Concat_3" type="Concat" version="opset1">
<data axis="2" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>84</dim>
<dim>6400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>84</dim>
<dim>1600</dim>
</port>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>84</dim>
<dim>400</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="1389">
<dim>1</dim>
<dim>84</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="482" name="923" type="Const" version="opset1">
<data element_type="i64" shape="" offset="91776" size="8" />
<output>
<port id="0" precision="I64" names="923" />
</output>
</layer>
<layer id="483" name="Constant_6409" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="9143588" size="16" />
<output>
<port id="0" precision="I64" names="1390">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="484" name="__module.model.23/prim::ListUnpack" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>84</dim>
<dim>8400</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="1392,x">
<dim>1</dim>
<dim>64</dim>
<dim>8400</dim>
</port>
<port id="4" precision="FP32" names="1393,cls">
<dim>1</dim>
<dim>20</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="485" name="Constant_14182" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="9143604" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="486" name="__module.model.23.dfl/aten::view/Reshape" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>64</dim>
<dim>8400</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1398">
<dim>1</dim>
<dim>4</dim>
<dim>16</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="487" name="__module.model.23.dfl/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
<data element_type="i32" shape="4" offset="9143636" size="16" />
<output>
<port id="0" precision="I32">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="488" name="__module.model.23.dfl/aten::transpose/Transpose" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>4</dim>
<dim>16</dim>
<dim>8400</dim>
</port>
<port id="1" precision="I32">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1399">
<dim>1</dim>
<dim>16</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="489" name="__module.model.23.dfl/aten::softmax/Softmax" type="SoftMax" version="opset8">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1400,input">
<dim>1</dim>
<dim>16</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="490" name="self.model.23.dfl.conv.weight" type="Const" version="opset1">
<data element_type="f32" shape="1, 16, 1, 1" offset="9143652" size="64" />
<output>
<port id="0" precision="FP32" names="self.model.23.dfl.conv.weight">
<dim>1</dim>
<dim>16</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="491" name="__module.model.23.dfl.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>16</dim>
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1406">
<dim>1</dim>
<dim>1</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="492" name="Constant_14183" type="Const" version="opset1">
<data element_type="i64" shape="3" offset="9143716" size="24" />
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="493" name="__module.model.23.dfl/aten::view/Reshape_1" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
<port id="1" precision="I64">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1408,distance">
<dim>1</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="494" name="__module.model.23/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
<data output_type="i32" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
</input>
<output>
<port id="1" precision="I32">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="495" name="Constant_10263" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="9143740" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="496" name="__module.model.23/prim::ListUnpack/Gather" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="I32">
<dim>3</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I32">
<dim>1</dim>
</port>
</input>
<output>
<port id="3" precision="I32" />
</output>
</layer>
<layer id="497" name="__module.model.23/prim::ListUnpack/Convert" type="Const" version="opset1">
<data element_type="i32" shape="" offset="9143744" size="4" />
<output>
<port id="0" precision="I32" />
</output>
</layer>
<layer id="498" name="__module.model.23/prim::ListUnpack/Divide" type="Divide" version="opset1">
<data auto_broadcast="numpy" m_pythondiv="true" />
<input>
<port id="0" precision="I32" />
<port id="1" precision="I32" />
</input>
<output>
<port id="2" precision="I32" />
</output>
</layer>
<layer id="499" name="__module.model.23/prim::ListUnpack/Mod" type="Mod" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I32" />
<port id="1" precision="I32" />
</input>
<output>
<port id="2" precision="I32" />
</output>
</layer>
<layer id="500" name="__module.model.23/prim::ListUnpack/Greater" type="Greater" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I32" />
<port id="1" precision="I32">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="BOOL">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="501" name="__module.model.23/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
<data destination_type="i32" />
<input>
<port id="0" precision="BOOL">
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="502" name="__module.model.23/prim::ListUnpack/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I32" />
<port id="1" precision="I32">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="503" name="Constant_10264" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="9143748" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="504" name="__module.model.23/prim::ListUnpack/Concat" type="Concat" version="opset1">
<data axis="0" />
<input>
<port id="0" precision="I32">
<dim>1</dim>
</port>
<port id="1" precision="I32">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I32">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="505" name="__module.model.23/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I32">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="1411,lt">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
<port id="4" precision="FP32" names="1412,rb">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="506" name="__module.model.23/aten::sub/Subtract" type="Subtract" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1413,x1y1">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="507" name="__module.model.23/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1414,x2y2">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="508" name="__module.model.23/aten::cat/Concat_4" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>2</dim>
<dim>8400</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1416">
<dim>1</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="509" name="Constant_13931" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 8400" offset="9143752" size="33600" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="510" name="__module.model.23/aten::mul/Multiply" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>8400</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1417,dbox">
<dim>1</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="511" name="__module.model.23/aten::sigmoid/Sigmoid" type="Sigmoid" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>20</dim>
<dim>8400</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1418">
<dim>1</dim>
<dim>20</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="512" name="__module.model.23/aten::cat/Concat_5" type="Concat" version="opset1">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>4</dim>
<dim>8400</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>20</dim>
<dim>8400</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1420,y">
<dim>1</dim>
<dim>24</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="513" name="Constant_6514" type="Const" version="opset1">
<data element_type="i64" shape="3" offset="9177352" size="24" />
<output>
<port id="0" precision="I64" names="1421">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="514" name="__module.model.23/aten::permute/Transpose" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>24</dim>
<dim>8400</dim>
</port>
<port id="1" precision="I64">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1422,preds">
<dim>1</dim>
<dim>8400</dim>
<dim>24</dim>
</port>
</output>
</layer>
<layer id="515" name="918" type="Const" version="opset1">
<data element_type="i64" shape="" offset="9177376" size="8" />
<output>
<port id="0" precision="I64" names="918" />
</output>
</layer>
<layer id="516" name="Constant_6523" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="9177384" size="16" />
<output>
<port id="0" precision="I64" names="1424">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="517" name="__module.model.23/prim::ListUnpack_1" type="VariadicSplit" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>8400</dim>
<dim>24</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="1426,boxes.1">
<dim>1</dim>
<dim>8400</dim>
<dim>4</dim>
</port>
<port id="4" precision="FP32" names="1427,scores.1">
<dim>1</dim>
<dim>8400</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="518" name="Constant_6529" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="9177376" size="8" />
<output>
<port id="0" precision="I64" names="1428">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="519" name="__module.model.23/aten::amax/ReduceMax" type="ReduceMax" version="opset1">
<data keep_dims="false" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>8400</dim>
<dim>20</dim>
</port>
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1429">
<dim>1</dim>
<dim>8400</dim>
</port>
</output>
</layer>
<layer id="520" name="910" type="Const" version="opset1">
<data element_type="i64" shape="" offset="9177400" size="8" />
<output>
<port id="0" precision="I64" names="910" />
</output>
</layer>
<layer id="521" name="__module.model.23/aten::topk/TopK" type="TopK" version="opset11">
<data axis="-1" mode="max" sort="value" index_element_type="i64" stable="false" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>8400</dim>
</port>
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="FP32" names="1430">
<dim>1</dim>
<dim>300</dim>
</port>
<port id="3" precision="I64" names="1431">
<dim>1</dim>
<dim>300</dim>
</port>
</output>
</layer>
<layer id="522" name="__module.model.23/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I64">
<dim>1</dim>
<dim>300</dim>
</port>
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="1432,index.1">
<dim>1</dim>
<dim>300</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="523" name="Constant_6538" type="Const" version="opset1">
<data element_type="i64" shape="3" offset="9177408" size="24" />
<output>
<port id="0" precision="I64" names="1433">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="524" name="__module.model.23/aten::repeat/Tile" type="Tile" version="opset1">
<input>
<port id="0" precision="I64">
<dim>1</dim>
<dim>300</dim>
<dim>1</dim>
</port>
<port id="1" precision="I64">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="1434">
<dim>1</dim>
<dim>300</dim>
<dim>4</dim>
</port>
</output>
</layer>
<layer id="525" name="__module.model.23/aten::gather/Convert" type="Convert" version="opset1">
<data destination_type="i32" />
<input>
<port id="0" precision="I64">
<dim>1</dim>
<dim>300</dim>
<dim>4</dim>
</port>
</input>
<output>
<port id="1" precision="I32">
<dim>1</dim>
<dim>300</dim>
<dim>4</dim>
</port>
</output>
</layer>
<layer id="526" name="__module.model.23/aten::gather/GatherElements" type="GatherElements" version="opset6">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>8400</dim>
<dim>4</dim>
</port>
<port id="1" precision="I32">
<dim>1</dim>
<dim>300</dim>
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1435,boxes">
<dim>1</dim>
<dim>300</dim>
<dim>4</dim>
</port>
</output>
</layer>
<layer id="527" name="__module.model.23/aten::index/ShapeOf_0" type="ShapeOf" version="opset3">
<data output_type="i32" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>300</dim>
<dim>4</dim>
</port>
</input>
<output>
<port id="1" precision="I32">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="528" name="Constant_8243" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="9143740" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="529" name="Constant_8242" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="9143744" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="530" name="Constant_8244" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="9177432" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="531" name="Constant_8246" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="9177436" size="8" />
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="532" name="__module.model.23/aten::index/Slice" type="Slice" version="opset8">
<input>
<port id="0" precision="I32">
<dim>3</dim>
</port>
<port id="1" precision="I32">
<dim>1</dim>
</port>
<port id="2" precision="I32">
<dim>1</dim>
</port>
<port id="3" precision="I32">
<dim>1</dim>
</port>
<port id="4" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="5" precision="I32">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="533" name="Constant_8247" type="Const" version="opset1">
<data element_type="i32" shape="" offset="9143740" size="4" />
<output>
<port id="0" precision="I32" />
</output>
</layer>
<layer id="534" name="__module.model.23/aten::index/ReduceProd" type="ReduceProd" version="opset1">
<data keep_dims="true" />
<input>
<port id="0" precision="I32">
<dim>2</dim>
</port>
<port id="1" precision="I32" />
</input>
<output>
<port id="2" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="535" name="Constant_8249" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="9143748" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="536" name="__module.model.23/aten::index/Concat" type="Concat" version="opset1">
<data axis="0" />
<input>
<port id="0" precision="I32">
<dim>1</dim>
</port>
<port id="1" precision="I32">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I32">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="537" name="__module.model.23/aten::index/Reshape" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>300</dim>
<dim>4</dim>
</port>
<port id="1" precision="I32">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>300</dim>
<dim>4</dim>
</port>
</output>
</layer>
<layer id="538" name="Constant_6547" type="Const" version="opset1">
<data element_type="i64" shape="3" offset="9177444" size="24" />
<output>
<port id="0" precision="I64" names="1436">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="539" name="__module.model.23/aten::repeat/Tile_1" type="Tile" version="opset1">
<input>
<port id="0" precision="I64">
<dim>1</dim>
<dim>300</dim>
<dim>1</dim>
</port>
<port id="1" precision="I64">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="1437">
<dim>1</dim>
<dim>300</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="540" name="__module.model.23/aten::gather/Convert_1" type="Convert" version="opset1">
<data destination_type="i32" />
<input>
<port id="0" precision="I64">
<dim>1</dim>
<dim>300</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="1" precision="I32">
<dim>1</dim>
<dim>300</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="541" name="__module.model.23/aten::gather/GatherElements_1" type="GatherElements" version="opset6">
<data axis="1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>8400</dim>
<dim>20</dim>
</port>
<port id="1" precision="I32">
<dim>1</dim>
<dim>300</dim>
<dim>20</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1438,scores.3">
<dim>1</dim>
<dim>300</dim>
<dim>20</dim>
</port>
</output>
</layer>
<layer id="542" name="Constant_14184" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="9177468" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="543" name="__module.model.23/aten::flatten/Reshape" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>300</dim>
<dim>20</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1439">
<dim>1</dim>
<dim>6000</dim>
</port>
</output>
</layer>
<layer id="544" name="__module.model.23/aten::topk/TopK_1" type="TopK" version="opset11">
<data axis="-1" mode="max" sort="value" index_element_type="i64" stable="false" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>6000</dim>
</port>
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="FP32" names="1440,scores">
<dim>1</dim>
<dim>300</dim>
</port>
<port id="3" precision="I64" names="1441,index">
<dim>1</dim>
<dim>300</dim>
</port>
</output>
</layer>
<layer id="545" name="Constant_13932" type="Const" version="opset1">
<data element_type="i64" shape="1, 1" offset="9177484" size="8" />
<output>
<port id="0" precision="I64">
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="546" name="__module.model.23/aten::floor_divide/Divide" type="Divide" version="opset1">
<data auto_broadcast="numpy" m_pythondiv="true" />
<input>
<port id="0" precision="I64">
<dim>1</dim>
<dim>300</dim>
</port>
<port id="1" precision="I64">
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64">
<dim>1</dim>
<dim>300</dim>
</port>
</output>
</layer>
<layer id="547" name="__module.model.23/aten::floor_divide/Floor" type="Floor" version="opset1">
<input>
<port id="0" precision="I64">
<dim>1</dim>
<dim>300</dim>
</port>
</input>
<output>
<port id="1" precision="I64" names="1444">
<dim>1</dim>
<dim>300</dim>
</port>
</output>
</layer>
<layer id="548" name="__module.model.23/aten::index/Convert" type="Convert" version="opset1">
<data destination_type="i32" />
<input>
<port id="0" precision="I64">
<dim>1</dim>
<dim>300</dim>
</port>
</input>
<output>
<port id="1" precision="I32">
<dim>1</dim>
<dim>300</dim>
</port>
</output>
</layer>
<layer id="549" name="__module.model.23/aten::arange/Constant" type="Const" version="opset1">
<data element_type="i32" shape="" offset="9143740" size="4" />
<output>
<port id="0" precision="I32" />
</output>
</layer>
<layer id="550" name="Constant_14146" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="9177436" size="8" />
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="551" name="Constant_14147" type="Const" version="opset1">
<data element_type="i64" shape="" offset="9177436" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="552" name="Gather_14148" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="I64">
<dim>4</dim>
</port>
<port id="1" precision="I64">
<dim>1</dim>
</port>
<port id="2" precision="I64" />
</input>
<output>
<port id="3" precision="I64" names="1381,1395,516">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="553" name="Squeeze_14177" type="Squeeze" version="opset1">
<input>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="I64" names="1423" />
</output>
</layer>
<layer id="554" name="__module.model.23/aten::arange/Constant_1" type="Const" version="opset1">
<data element_type="i32" shape="" offset="9177432" size="4" />
<output>
<port id="0" precision="I32" />
</output>
</layer>
<layer id="555" name="__module.model.23/aten::arange/Range" type="Range" version="opset4">
<data output_type="f32" />
<input>
<port id="0" precision="I32" />
<port id="1" precision="I64" />
<port id="2" precision="I32" />
</input>
<output>
<port id="3" precision="FP32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="556" name="__module.model.23/aten::arange/ConvertLike" type="Convert" version="opset1">
<data destination_type="i64" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="I64" names="1442">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="557" name="__module.model.23/aten::unsqueeze/Unsqueeze_2" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I64">
<dim>1</dim>
</port>
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="1443,i">
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="558" name="__module.model.23/aten::index/Convert_2" type="Convert" version="opset1">
<data destination_type="i32" />
<input>
<port id="0" precision="I64">
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="I32">
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="559" name="Constant_13933" type="Const" version="opset1">
<data element_type="i32" shape="1, 1" offset="9177492" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="560" name="__module.model.23/aten::index/Multiply" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I32">
<dim>1</dim>
<dim>1</dim>
</port>
<port id="1" precision="I32">
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I32">
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="561" name="__module.model.23/aten::index/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I32">
<dim>1</dim>
<dim>300</dim>
</port>
<port id="1" precision="I32">
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I32">
<dim>1</dim>
<dim>300</dim>
</port>
</output>
</layer>
<layer id="562" name="Constant_8236" type="Const" version="opset1">
<data element_type="i32" shape="" offset="9143740" size="4" />
<output>
<port id="0" precision="I32" />
</output>
</layer>
<layer id="563" name="__module.model.23/aten::index/Gather" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="FP32">
<dim>300</dim>
<dim>4</dim>
</port>
<port id="1" precision="I32">
<dim>1</dim>
<dim>300</dim>
</port>
<port id="2" precision="I32" />
</input>
<output>
<port id="3" precision="FP32">
<dim>1</dim>
<dim>300</dim>
<dim>4</dim>
</port>
</output>
</layer>
<layer id="564" name="__module.model.23/aten::index/Concat_5" type="Const" version="opset1">
<data element_type="i32" shape="2" offset="9177496" size="8" />
<output>
<port id="0" precision="I32">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="565" name="__module.model.23/aten::index/Reshape_6" type="Reshape" version="opset1">
<data special_zero="false" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>300</dim>
<dim>4</dim>
</port>
<port id="1" precision="I32">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>300</dim>
<dim>4</dim>
</port>
</output>
</layer>
<layer id="566" name="Constant_14185" type="Const" version="opset1">
<data element_type="i64" shape="3" offset="9177504" size="24" />
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="567" name="__module.model.23/aten::index/Reshape_9" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="FP32">
<dim>300</dim>
<dim>4</dim>
</port>
<port id="1" precision="I64">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="1446">
<dim>1</dim>
<dim>300</dim>
<dim>4</dim>
</port>
</output>
</layer>
<layer id="568" name="917" type="Const" version="opset1">
<data element_type="i64" shape="" offset="4247784" size="8" />
<output>
<port id="0" precision="I64" names="917" />
</output>
</layer>
<layer id="569" name="__module.model.23/aten::unsqueeze/Unsqueeze_3" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>300</dim>
</port>
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="FP32" names="1447">
<dim>1</dim>
<dim>300</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="570" name="Constant_13934" type="Const" version="opset1">
<data element_type="i64" shape="1, 1" offset="9177484" size="8" />
<output>
<port id="0" precision="I64">
<dim>1</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="571" name="__module.model.23/aten::remainder/FloorMod" type="FloorMod" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="I64">
<dim>1</dim>
<dim>300</dim>
</port>
<port id="1" precision="I64">
<dim>1</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="1448">
<dim>1</dim>
<dim>300</dim>
</port>
</output>
</layer>
<layer id="572" name="__module.model.23/aten::unsqueeze/Unsqueeze_4" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I64">
<dim>1</dim>
<dim>300</dim>
</port>
<port id="1" precision="I64" />
</input>
<output>
<port id="2" precision="I64" names="1449">
<dim>1</dim>
<dim>300</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="573" name="__module.model.23/aten::to/Convert" type="Convert" version="opset1">
<data destination_type="f32" />
<input>
<port id="0" precision="I64">
<dim>1</dim>
<dim>300</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="1450">
<dim>1</dim>
<dim>300</dim>
<dim>1</dim>
</port>
</output>
</layer>
<layer id="574" name="__module.model.23/aten::cat/Concat_6" type="Concat" version="opset1">
<data axis="-1" />
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>300</dim>
<dim>4</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>300</dim>
<dim>1</dim>
</port>
<port id="2" precision="FP32">
<dim>1</dim>
<dim>300</dim>
<dim>1</dim>
</port>
</input>
<output>
<port id="3" precision="FP32">
<dim>1</dim>
<dim>300</dim>
<dim>6</dim>
</port>
</output>
</layer>
<layer id="575" name="Result_6677" type="Result" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>300</dim>
<dim>6</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="3" to-port="0" />
<edge from-layer="1" from-port="0" to-layer="506" to-port="0" />
<edge from-layer="1" from-port="0" to-layer="507" to-port="0" />
<edge from-layer="2" from-port="0" to-layer="3" to-port="1" />
<edge from-layer="3" from-port="2" to-layer="5" to-port="0" />
<edge from-layer="4" from-port="0" to-layer="5" to-port="1" />
<edge from-layer="5" from-port="2" to-layer="6" to-port="0" />
<edge from-layer="6" from-port="1" to-layer="8" to-port="0" />
<edge from-layer="7" from-port="0" to-layer="8" to-port="1" />
<edge from-layer="8" from-port="2" to-layer="10" to-port="0" />
<edge from-layer="9" from-port="0" to-layer="10" to-port="1" />
<edge from-layer="10" from-port="2" to-layer="11" to-port="0" />
<edge from-layer="11" from-port="1" to-layer="13" to-port="0" />
<edge from-layer="12" from-port="0" to-layer="13" to-port="1" />
<edge from-layer="13" from-port="2" to-layer="15" to-port="0" />
<edge from-layer="14" from-port="0" to-layer="15" to-port="1" />
<edge from-layer="15" from-port="2" to-layer="16" to-port="0" />
<edge from-layer="16" from-port="1" to-layer="19" to-port="0" />
<edge from-layer="17" from-port="0" to-layer="19" to-port="1" />
<edge from-layer="18" from-port="0" to-layer="19" to-port="2" />
<edge from-layer="19" from-port="4" to-layer="21" to-port="0" />
<edge from-layer="19" from-port="4" to-layer="31" to-port="1" />
<edge from-layer="19" from-port="3" to-layer="31" to-port="0" />
<edge from-layer="19" from-port="4" to-layer="30" to-port="0" />
<edge from-layer="20" from-port="0" to-layer="21" to-port="1" />
<edge from-layer="21" from-port="2" to-layer="23" to-port="0" />
<edge from-layer="22" from-port="0" to-layer="23" to-port="1" />
<edge from-layer="23" from-port="2" to-layer="24" to-port="0" />
<edge from-layer="24" from-port="1" to-layer="26" to-port="0" />
<edge from-layer="25" from-port="0" to-layer="26" to-port="1" />
<edge from-layer="26" from-port="2" to-layer="28" to-port="0" />
<edge from-layer="27" from-port="0" to-layer="28" to-port="1" />
<edge from-layer="28" from-port="2" to-layer="29" to-port="0" />
<edge from-layer="29" from-port="1" to-layer="30" to-port="1" />
<edge from-layer="30" from-port="2" to-layer="31" to-port="2" />
<edge from-layer="31" from-port="3" to-layer="33" to-port="0" />
<edge from-layer="32" from-port="0" to-layer="33" to-port="1" />
<edge from-layer="33" from-port="2" to-layer="35" to-port="0" />
<edge from-layer="34" from-port="0" to-layer="35" to-port="1" />
<edge from-layer="35" from-port="2" to-layer="36" to-port="0" />
<edge from-layer="36" from-port="1" to-layer="38" to-port="0" />
<edge from-layer="37" from-port="0" to-layer="38" to-port="1" />
<edge from-layer="38" from-port="2" to-layer="40" to-port="0" />
<edge from-layer="39" from-port="0" to-layer="40" to-port="1" />
<edge from-layer="40" from-port="2" to-layer="41" to-port="0" />
<edge from-layer="41" from-port="1" to-layer="43" to-port="0" />
<edge from-layer="42" from-port="0" to-layer="43" to-port="1" />
<edge from-layer="43" from-port="2" to-layer="45" to-port="0" />
<edge from-layer="44" from-port="0" to-layer="45" to-port="1" />
<edge from-layer="45" from-port="2" to-layer="46" to-port="0" />
<edge from-layer="46" from-port="1" to-layer="49" to-port="0" />
<edge from-layer="47" from-port="0" to-layer="49" to-port="1" />
<edge from-layer="48" from-port="0" to-layer="49" to-port="2" />
<edge from-layer="49" from-port="4" to-layer="51" to-port="0" />
<edge from-layer="49" from-port="3" to-layer="72" to-port="0" />
<edge from-layer="49" from-port="4" to-layer="72" to-port="1" />
<edge from-layer="49" from-port="4" to-layer="60" to-port="0" />
<edge from-layer="50" from-port="0" to-layer="51" to-port="1" />
<edge from-layer="51" from-port="2" to-layer="53" to-port="0" />
<edge from-layer="52" from-port="0" to-layer="53" to-port="1" />
<edge from-layer="53" from-port="2" to-layer="54" to-port="0" />
<edge from-layer="54" from-port="1" to-layer="56" to-port="0" />
<edge from-layer="55" from-port="0" to-layer="56" to-port="1" />
<edge from-layer="56" from-port="2" to-layer="58" to-port="0" />
<edge from-layer="57" from-port="0" to-layer="58" to-port="1" />
<edge from-layer="58" from-port="2" to-layer="59" to-port="0" />
<edge from-layer="59" from-port="1" to-layer="60" to-port="1" />
<edge from-layer="60" from-port="2" to-layer="62" to-port="0" />
<edge from-layer="60" from-port="2" to-layer="72" to-port="2" />
<edge from-layer="60" from-port="2" to-layer="71" to-port="0" />
<edge from-layer="61" from-port="0" to-layer="62" to-port="1" />
<edge from-layer="62" from-port="2" to-layer="64" to-port="0" />
<edge from-layer="63" from-port="0" to-layer="64" to-port="1" />
<edge from-layer="64" from-port="2" to-layer="65" to-port="0" />
<edge from-layer="65" from-port="1" to-layer="67" to-port="0" />
<edge from-layer="66" from-port="0" to-layer="67" to-port="1" />
<edge from-layer="67" from-port="2" to-layer="69" to-port="0" />
<edge from-layer="68" from-port="0" to-layer="69" to-port="1" />
<edge from-layer="69" from-port="2" to-layer="70" to-port="0" />
<edge from-layer="70" from-port="1" to-layer="71" to-port="1" />
<edge from-layer="71" from-port="2" to-layer="72" to-port="3" />
<edge from-layer="72" from-port="4" to-layer="74" to-port="0" />
<edge from-layer="73" from-port="0" to-layer="74" to-port="1" />
<edge from-layer="74" from-port="2" to-layer="76" to-port="0" />
<edge from-layer="75" from-port="0" to-layer="76" to-port="1" />
<edge from-layer="76" from-port="2" to-layer="77" to-port="0" />
<edge from-layer="77" from-port="1" to-layer="253" to-port="1" />
<edge from-layer="77" from-port="1" to-layer="79" to-port="0" />
<edge from-layer="78" from-port="0" to-layer="79" to-port="1" />
<edge from-layer="79" from-port="2" to-layer="81" to-port="0" />
<edge from-layer="80" from-port="0" to-layer="81" to-port="1" />
<edge from-layer="81" from-port="2" to-layer="82" to-port="0" />
<edge from-layer="82" from-port="1" to-layer="84" to-port="0" />
<edge from-layer="83" from-port="0" to-layer="84" to-port="1" />
<edge from-layer="84" from-port="2" to-layer="86" to-port="0" />
<edge from-layer="85" from-port="0" to-layer="86" to-port="1" />
<edge from-layer="86" from-port="2" to-layer="88" to-port="0" />
<edge from-layer="87" from-port="0" to-layer="88" to-port="1" />
<edge from-layer="88" from-port="2" to-layer="90" to-port="0" />
<edge from-layer="89" from-port="0" to-layer="90" to-port="1" />
<edge from-layer="90" from-port="2" to-layer="91" to-port="0" />
<edge from-layer="91" from-port="1" to-layer="94" to-port="0" />
<edge from-layer="92" from-port="0" to-layer="94" to-port="1" />
<edge from-layer="93" from-port="0" to-layer="94" to-port="2" />
<edge from-layer="94" from-port="4" to-layer="96" to-port="0" />
<edge from-layer="94" from-port="4" to-layer="117" to-port="1" />
<edge from-layer="94" from-port="3" to-layer="117" to-port="0" />
<edge from-layer="94" from-port="4" to-layer="105" to-port="0" />
<edge from-layer="95" from-port="0" to-layer="96" to-port="1" />
<edge from-layer="96" from-port="2" to-layer="98" to-port="0" />
<edge from-layer="97" from-port="0" to-layer="98" to-port="1" />
<edge from-layer="98" from-port="2" to-layer="99" to-port="0" />
<edge from-layer="99" from-port="1" to-layer="101" to-port="0" />
<edge from-layer="100" from-port="0" to-layer="101" to-port="1" />
<edge from-layer="101" from-port="2" to-layer="103" to-port="0" />
<edge from-layer="102" from-port="0" to-layer="103" to-port="1" />
<edge from-layer="103" from-port="2" to-layer="104" to-port="0" />
<edge from-layer="104" from-port="1" to-layer="105" to-port="1" />
<edge from-layer="105" from-port="2" to-layer="107" to-port="0" />
<edge from-layer="105" from-port="2" to-layer="116" to-port="0" />
<edge from-layer="105" from-port="2" to-layer="117" to-port="2" />
<edge from-layer="106" from-port="0" to-layer="107" to-port="1" />
<edge from-layer="107" from-port="2" to-layer="109" to-port="0" />
<edge from-layer="108" from-port="0" to-layer="109" to-port="1" />
<edge from-layer="109" from-port="2" to-layer="110" to-port="0" />
<edge from-layer="110" from-port="1" to-layer="112" to-port="0" />
<edge from-layer="111" from-port="0" to-layer="112" to-port="1" />
<edge from-layer="112" from-port="2" to-layer="114" to-port="0" />
<edge from-layer="113" from-port="0" to-layer="114" to-port="1" />
<edge from-layer="114" from-port="2" to-layer="115" to-port="0" />
<edge from-layer="115" from-port="1" to-layer="116" to-port="1" />
<edge from-layer="116" from-port="2" to-layer="117" to-port="3" />
<edge from-layer="117" from-port="4" to-layer="119" to-port="0" />
<edge from-layer="118" from-port="0" to-layer="119" to-port="1" />
<edge from-layer="119" from-port="2" to-layer="121" to-port="0" />
<edge from-layer="120" from-port="0" to-layer="121" to-port="1" />
<edge from-layer="121" from-port="2" to-layer="122" to-port="0" />
<edge from-layer="122" from-port="1" to-layer="124" to-port="0" />
<edge from-layer="122" from-port="1" to-layer="225" to-port="1" />
<edge from-layer="123" from-port="0" to-layer="124" to-port="1" />
<edge from-layer="124" from-port="2" to-layer="126" to-port="0" />
<edge from-layer="125" from-port="0" to-layer="126" to-port="1" />
<edge from-layer="126" from-port="2" to-layer="127" to-port="0" />
<edge from-layer="127" from-port="1" to-layer="129" to-port="0" />
<edge from-layer="128" from-port="0" to-layer="129" to-port="1" />
<edge from-layer="129" from-port="2" to-layer="131" to-port="0" />
<edge from-layer="130" from-port="0" to-layer="131" to-port="1" />
<edge from-layer="131" from-port="2" to-layer="133" to-port="0" />
<edge from-layer="132" from-port="0" to-layer="133" to-port="1" />
<edge from-layer="133" from-port="2" to-layer="135" to-port="0" />
<edge from-layer="134" from-port="0" to-layer="135" to-port="1" />
<edge from-layer="135" from-port="2" to-layer="136" to-port="0" />
<edge from-layer="136" from-port="1" to-layer="139" to-port="0" />
<edge from-layer="137" from-port="0" to-layer="139" to-port="1" />
<edge from-layer="138" from-port="0" to-layer="139" to-port="2" />
<edge from-layer="139" from-port="4" to-layer="151" to-port="1" />
<edge from-layer="139" from-port="3" to-layer="151" to-port="0" />
<edge from-layer="139" from-port="4" to-layer="150" to-port="0" />
<edge from-layer="139" from-port="4" to-layer="141" to-port="0" />
<edge from-layer="140" from-port="0" to-layer="141" to-port="1" />
<edge from-layer="141" from-port="2" to-layer="143" to-port="0" />
<edge from-layer="142" from-port="0" to-layer="143" to-port="1" />
<edge from-layer="143" from-port="2" to-layer="144" to-port="0" />
<edge from-layer="144" from-port="1" to-layer="146" to-port="0" />
<edge from-layer="145" from-port="0" to-layer="146" to-port="1" />
<edge from-layer="146" from-port="2" to-layer="148" to-port="0" />
<edge from-layer="147" from-port="0" to-layer="148" to-port="1" />
<edge from-layer="148" from-port="2" to-layer="149" to-port="0" />
<edge from-layer="149" from-port="1" to-layer="150" to-port="1" />
<edge from-layer="150" from-port="2" to-layer="151" to-port="2" />
<edge from-layer="151" from-port="3" to-layer="153" to-port="0" />
<edge from-layer="152" from-port="0" to-layer="153" to-port="1" />
<edge from-layer="153" from-port="2" to-layer="155" to-port="0" />
<edge from-layer="154" from-port="0" to-layer="155" to-port="1" />
<edge from-layer="155" from-port="2" to-layer="156" to-port="0" />
<edge from-layer="156" from-port="1" to-layer="158" to-port="0" />
<edge from-layer="157" from-port="0" to-layer="158" to-port="1" />
<edge from-layer="158" from-port="2" to-layer="160" to-port="0" />
<edge from-layer="159" from-port="0" to-layer="160" to-port="1" />
<edge from-layer="160" from-port="2" to-layer="161" to-port="0" />
<edge from-layer="161" from-port="1" to-layer="165" to-port="0" />
<edge from-layer="161" from-port="1" to-layer="162" to-port="0" />
<edge from-layer="162" from-port="1" to-layer="165" to-port="1" />
<edge from-layer="162" from-port="1" to-layer="163" to-port="0" />
<edge from-layer="163" from-port="1" to-layer="165" to-port="2" />
<edge from-layer="163" from-port="1" to-layer="164" to-port="0" />
<edge from-layer="164" from-port="1" to-layer="165" to-port="3" />
<edge from-layer="165" from-port="4" to-layer="167" to-port="0" />
<edge from-layer="166" from-port="0" to-layer="167" to-port="1" />
<edge from-layer="167" from-port="2" to-layer="169" to-port="0" />
<edge from-layer="168" from-port="0" to-layer="169" to-port="1" />
<edge from-layer="169" from-port="2" to-layer="170" to-port="0" />
<edge from-layer="170" from-port="1" to-layer="172" to-port="0" />
<edge from-layer="171" from-port="0" to-layer="172" to-port="1" />
<edge from-layer="172" from-port="2" to-layer="174" to-port="0" />
<edge from-layer="173" from-port="0" to-layer="174" to-port="1" />
<edge from-layer="174" from-port="2" to-layer="175" to-port="0" />
<edge from-layer="175" from-port="1" to-layer="178" to-port="0" />
<edge from-layer="176" from-port="0" to-layer="178" to-port="1" />
<edge from-layer="177" from-port="0" to-layer="178" to-port="2" />
<edge from-layer="178" from-port="4" to-layer="205" to-port="0" />
<edge from-layer="178" from-port="3" to-layer="216" to-port="0" />
<edge from-layer="178" from-port="4" to-layer="193" to-port="0" />
<edge from-layer="178" from-port="4" to-layer="180" to-port="0" />
<edge from-layer="179" from-port="0" to-layer="180" to-port="1" />
<edge from-layer="180" from-port="2" to-layer="182" to-port="0" />
<edge from-layer="181" from-port="0" to-layer="182" to-port="1" />
<edge from-layer="182" from-port="2" to-layer="184" to-port="0" />
<edge from-layer="183" from-port="0" to-layer="184" to-port="1" />
<edge from-layer="184" from-port="2" to-layer="187" to-port="0" />
<edge from-layer="185" from-port="0" to-layer="187" to-port="1" />
<edge from-layer="186" from-port="0" to-layer="187" to-port="2" />
<edge from-layer="187" from-port="3" to-layer="190" to-port="0" />
<edge from-layer="187" from-port="4" to-layer="189" to-port="0" />
<edge from-layer="187" from-port="5" to-layer="192" to-port="0" />
<edge from-layer="187" from-port="5" to-layer="195" to-port="0" />
<edge from-layer="188" from-port="0" to-layer="189" to-port="1" />
<edge from-layer="189" from-port="2" to-layer="190" to-port="1" />
<edge from-layer="190" from-port="2" to-layer="191" to-port="0" />
<edge from-layer="191" from-port="1" to-layer="192" to-port="1" />
<edge from-layer="192" from-port="2" to-layer="194" to-port="0" />
<edge from-layer="193" from-port="1" to-layer="195" to-port="1" />
<edge from-layer="193" from-port="1" to-layer="194" to-port="1" />
<edge from-layer="193" from-port="1" to-layer="552" to-port="0" />
<edge from-layer="194" from-port="2" to-layer="200" to-port="0" />
<edge from-layer="195" from-port="2" to-layer="197" to-port="0" />
<edge from-layer="196" from-port="0" to-layer="197" to-port="1" />
<edge from-layer="197" from-port="2" to-layer="199" to-port="0" />
<edge from-layer="198" from-port="0" to-layer="199" to-port="1" />
<edge from-layer="199" from-port="2" to-layer="200" to-port="1" />
<edge from-layer="200" from-port="2" to-layer="202" to-port="0" />
<edge from-layer="201" from-port="0" to-layer="202" to-port="1" />
<edge from-layer="202" from-port="2" to-layer="204" to-port="0" />
<edge from-layer="203" from-port="0" to-layer="204" to-port="1" />
<edge from-layer="204" from-port="2" to-layer="205" to-port="1" />
<edge from-layer="205" from-port="2" to-layer="207" to-port="0" />
<edge from-layer="205" from-port="2" to-layer="215" to-port="0" />
<edge from-layer="206" from-port="0" to-layer="207" to-port="1" />
<edge from-layer="207" from-port="2" to-layer="209" to-port="0" />
<edge from-layer="208" from-port="0" to-layer="209" to-port="1" />
<edge from-layer="209" from-port="2" to-layer="210" to-port="0" />
<edge from-layer="210" from-port="1" to-layer="212" to-port="0" />
<edge from-layer="211" from-port="0" to-layer="212" to-port="1" />
<edge from-layer="212" from-port="2" to-layer="214" to-port="0" />
<edge from-layer="213" from-port="0" to-layer="214" to-port="1" />
<edge from-layer="214" from-port="2" to-layer="215" to-port="1" />
<edge from-layer="215" from-port="2" to-layer="216" to-port="1" />
<edge from-layer="216" from-port="2" to-layer="218" to-port="0" />
<edge from-layer="217" from-port="0" to-layer="218" to-port="1" />
<edge from-layer="218" from-port="2" to-layer="220" to-port="0" />
<edge from-layer="219" from-port="0" to-layer="220" to-port="1" />
<edge from-layer="220" from-port="2" to-layer="221" to-port="0" />
<edge from-layer="221" from-port="1" to-layer="399" to-port="1" />
<edge from-layer="221" from-port="1" to-layer="224" to-port="0" />
<edge from-layer="222" from-port="0" to-layer="224" to-port="1" />
<edge from-layer="223" from-port="0" to-layer="224" to-port="2" />
<edge from-layer="224" from-port="3" to-layer="225" to-port="0" />
<edge from-layer="225" from-port="2" to-layer="227" to-port="0" />
<edge from-layer="226" from-port="0" to-layer="227" to-port="1" />
<edge from-layer="227" from-port="2" to-layer="229" to-port="0" />
<edge from-layer="228" from-port="0" to-layer="229" to-port="1" />
<edge from-layer="229" from-port="2" to-layer="230" to-port="0" />
<edge from-layer="230" from-port="1" to-layer="233" to-port="0" />
<edge from-layer="231" from-port="0" to-layer="233" to-port="1" />
<edge from-layer="232" from-port="0" to-layer="233" to-port="2" />
<edge from-layer="233" from-port="3" to-layer="244" to-port="0" />
<edge from-layer="233" from-port="4" to-layer="244" to-port="1" />
<edge from-layer="233" from-port="4" to-layer="235" to-port="0" />
<edge from-layer="234" from-port="0" to-layer="235" to-port="1" />
<edge from-layer="235" from-port="2" to-layer="237" to-port="0" />
<edge from-layer="236" from-port="0" to-layer="237" to-port="1" />
<edge from-layer="237" from-port="2" to-layer="238" to-port="0" />
<edge from-layer="238" from-port="1" to-layer="240" to-port="0" />
<edge from-layer="239" from-port="0" to-layer="240" to-port="1" />
<edge from-layer="240" from-port="2" to-layer="242" to-port="0" />
<edge from-layer="241" from-port="0" to-layer="242" to-port="1" />
<edge from-layer="242" from-port="2" to-layer="243" to-port="0" />
<edge from-layer="243" from-port="1" to-layer="244" to-port="2" />
<edge from-layer="244" from-port="3" to-layer="246" to-port="0" />
<edge from-layer="245" from-port="0" to-layer="246" to-port="1" />
<edge from-layer="246" from-port="2" to-layer="248" to-port="0" />
<edge from-layer="247" from-port="0" to-layer="248" to-port="1" />
<edge from-layer="248" from-port="2" to-layer="249" to-port="0" />
<edge from-layer="249" from-port="1" to-layer="324" to-port="1" />
<edge from-layer="249" from-port="1" to-layer="252" to-port="0" />
<edge from-layer="250" from-port="0" to-layer="252" to-port="1" />
<edge from-layer="251" from-port="0" to-layer="252" to-port="2" />
<edge from-layer="252" from-port="3" to-layer="253" to-port="0" />
<edge from-layer="253" from-port="2" to-layer="255" to-port="0" />
<edge from-layer="254" from-port="0" to-layer="255" to-port="1" />
<edge from-layer="255" from-port="2" to-layer="257" to-port="0" />
<edge from-layer="256" from-port="0" to-layer="257" to-port="1" />
<edge from-layer="257" from-port="2" to-layer="258" to-port="0" />
<edge from-layer="258" from-port="1" to-layer="261" to-port="0" />
<edge from-layer="259" from-port="0" to-layer="261" to-port="1" />
<edge from-layer="260" from-port="0" to-layer="261" to-port="2" />
<edge from-layer="261" from-port="4" to-layer="263" to-port="0" />
<edge from-layer="261" from-port="3" to-layer="272" to-port="0" />
<edge from-layer="261" from-port="4" to-layer="272" to-port="1" />
<edge from-layer="262" from-port="0" to-layer="263" to-port="1" />
<edge from-layer="263" from-port="2" to-layer="265" to-port="0" />
<edge from-layer="264" from-port="0" to-layer="265" to-port="1" />
<edge from-layer="265" from-port="2" to-layer="266" to-port="0" />
<edge from-layer="266" from-port="1" to-layer="268" to-port="0" />
<edge from-layer="267" from-port="0" to-layer="268" to-port="1" />
<edge from-layer="268" from-port="2" to-layer="270" to-port="0" />
<edge from-layer="269" from-port="0" to-layer="270" to-port="1" />
<edge from-layer="270" from-port="2" to-layer="271" to-port="0" />
<edge from-layer="271" from-port="1" to-layer="272" to-port="2" />
<edge from-layer="272" from-port="3" to-layer="274" to-port="0" />
<edge from-layer="273" from-port="0" to-layer="274" to-port="1" />
<edge from-layer="274" from-port="2" to-layer="276" to-port="0" />
<edge from-layer="275" from-port="0" to-layer="276" to-port="1" />
<edge from-layer="276" from-port="2" to-layer="277" to-port="0" />
<edge from-layer="277" from-port="1" to-layer="293" to-port="0" />
<edge from-layer="277" from-port="1" to-layer="320" to-port="0" />
<edge from-layer="277" from-port="1" to-layer="279" to-port="0" />
<edge from-layer="278" from-port="0" to-layer="279" to-port="1" />
<edge from-layer="279" from-port="2" to-layer="281" to-port="0" />
<edge from-layer="280" from-port="0" to-layer="281" to-port="1" />
<edge from-layer="281" from-port="2" to-layer="282" to-port="0" />
<edge from-layer="282" from-port="1" to-layer="284" to-port="0" />
<edge from-layer="283" from-port="0" to-layer="284" to-port="1" />
<edge from-layer="284" from-port="2" to-layer="286" to-port="0" />
<edge from-layer="285" from-port="0" to-layer="286" to-port="1" />
<edge from-layer="286" from-port="2" to-layer="287" to-port="0" />
<edge from-layer="287" from-port="1" to-layer="289" to-port="0" />
<edge from-layer="288" from-port="0" to-layer="289" to-port="1" />
<edge from-layer="289" from-port="2" to-layer="291" to-port="0" />
<edge from-layer="290" from-port="0" to-layer="291" to-port="1" />
<edge from-layer="291" from-port="2" to-layer="316" to-port="0" />
<edge from-layer="292" from-port="0" to-layer="293" to-port="1" />
<edge from-layer="293" from-port="2" to-layer="295" to-port="0" />
<edge from-layer="294" from-port="0" to-layer="295" to-port="1" />
<edge from-layer="295" from-port="2" to-layer="296" to-port="0" />
<edge from-layer="296" from-port="1" to-layer="298" to-port="0" />
<edge from-layer="297" from-port="0" to-layer="298" to-port="1" />
<edge from-layer="298" from-port="2" to-layer="300" to-port="0" />
<edge from-layer="299" from-port="0" to-layer="300" to-port="1" />
<edge from-layer="300" from-port="2" to-layer="301" to-port="0" />
<edge from-layer="301" from-port="1" to-layer="303" to-port="0" />
<edge from-layer="302" from-port="0" to-layer="303" to-port="1" />
<edge from-layer="303" from-port="2" to-layer="305" to-port="0" />
<edge from-layer="304" from-port="0" to-layer="305" to-port="1" />
<edge from-layer="305" from-port="2" to-layer="306" to-port="0" />
<edge from-layer="306" from-port="1" to-layer="308" to-port="0" />
<edge from-layer="307" from-port="0" to-layer="308" to-port="1" />
<edge from-layer="308" from-port="2" to-layer="310" to-port="0" />
<edge from-layer="309" from-port="0" to-layer="310" to-port="1" />
<edge from-layer="310" from-port="2" to-layer="311" to-port="0" />
<edge from-layer="311" from-port="1" to-layer="313" to-port="0" />
<edge from-layer="312" from-port="0" to-layer="313" to-port="1" />
<edge from-layer="313" from-port="2" to-layer="315" to-port="0" />
<edge from-layer="314" from-port="0" to-layer="315" to-port="1" />
<edge from-layer="315" from-port="2" to-layer="316" to-port="1" />
<edge from-layer="316" from-port="2" to-layer="318" to-port="0" />
<edge from-layer="317" from-port="0" to-layer="318" to-port="1" />
<edge from-layer="318" from-port="2" to-layer="481" to-port="0" />
<edge from-layer="319" from-port="0" to-layer="320" to-port="1" />
<edge from-layer="320" from-port="2" to-layer="322" to-port="0" />
<edge from-layer="321" from-port="0" to-layer="322" to-port="1" />
<edge from-layer="322" from-port="2" to-layer="323" to-port="0" />
<edge from-layer="323" from-port="1" to-layer="324" to-port="0" />
<edge from-layer="324" from-port="2" to-layer="326" to-port="0" />
<edge from-layer="325" from-port="0" to-layer="326" to-port="1" />
<edge from-layer="326" from-port="2" to-layer="328" to-port="0" />
<edge from-layer="327" from-port="0" to-layer="328" to-port="1" />
<edge from-layer="328" from-port="2" to-layer="329" to-port="0" />
<edge from-layer="329" from-port="1" to-layer="332" to-port="0" />
<edge from-layer="330" from-port="0" to-layer="332" to-port="1" />
<edge from-layer="331" from-port="0" to-layer="332" to-port="2" />
<edge from-layer="332" from-port="3" to-layer="343" to-port="0" />
<edge from-layer="332" from-port="4" to-layer="343" to-port="1" />
<edge from-layer="332" from-port="4" to-layer="334" to-port="0" />
<edge from-layer="333" from-port="0" to-layer="334" to-port="1" />
<edge from-layer="334" from-port="2" to-layer="336" to-port="0" />
<edge from-layer="335" from-port="0" to-layer="336" to-port="1" />
<edge from-layer="336" from-port="2" to-layer="337" to-port="0" />
<edge from-layer="337" from-port="1" to-layer="339" to-port="0" />
<edge from-layer="338" from-port="0" to-layer="339" to-port="1" />
<edge from-layer="339" from-port="2" to-layer="341" to-port="0" />
<edge from-layer="340" from-port="0" to-layer="341" to-port="1" />
<edge from-layer="341" from-port="2" to-layer="342" to-port="0" />
<edge from-layer="342" from-port="1" to-layer="343" to-port="2" />
<edge from-layer="343" from-port="3" to-layer="345" to-port="0" />
<edge from-layer="344" from-port="0" to-layer="345" to-port="1" />
<edge from-layer="345" from-port="2" to-layer="347" to-port="0" />
<edge from-layer="346" from-port="0" to-layer="347" to-port="1" />
<edge from-layer="347" from-port="2" to-layer="348" to-port="0" />
<edge from-layer="348" from-port="1" to-layer="364" to-port="0" />
<edge from-layer="348" from-port="1" to-layer="391" to-port="0" />
<edge from-layer="348" from-port="1" to-layer="350" to-port="0" />
<edge from-layer="349" from-port="0" to-layer="350" to-port="1" />
<edge from-layer="350" from-port="2" to-layer="352" to-port="0" />
<edge from-layer="351" from-port="0" to-layer="352" to-port="1" />
<edge from-layer="352" from-port="2" to-layer="353" to-port="0" />
<edge from-layer="353" from-port="1" to-layer="355" to-port="0" />
<edge from-layer="354" from-port="0" to-layer="355" to-port="1" />
<edge from-layer="355" from-port="2" to-layer="357" to-port="0" />
<edge from-layer="356" from-port="0" to-layer="357" to-port="1" />
<edge from-layer="357" from-port="2" to-layer="358" to-port="0" />
<edge from-layer="358" from-port="1" to-layer="360" to-port="0" />
<edge from-layer="359" from-port="0" to-layer="360" to-port="1" />
<edge from-layer="360" from-port="2" to-layer="362" to-port="0" />
<edge from-layer="361" from-port="0" to-layer="362" to-port="1" />
<edge from-layer="362" from-port="2" to-layer="387" to-port="0" />
<edge from-layer="363" from-port="0" to-layer="364" to-port="1" />
<edge from-layer="364" from-port="2" to-layer="366" to-port="0" />
<edge from-layer="365" from-port="0" to-layer="366" to-port="1" />
<edge from-layer="366" from-port="2" to-layer="367" to-port="0" />
<edge from-layer="367" from-port="1" to-layer="369" to-port="0" />
<edge from-layer="368" from-port="0" to-layer="369" to-port="1" />
<edge from-layer="369" from-port="2" to-layer="371" to-port="0" />
<edge from-layer="370" from-port="0" to-layer="371" to-port="1" />
<edge from-layer="371" from-port="2" to-layer="372" to-port="0" />
<edge from-layer="372" from-port="1" to-layer="374" to-port="0" />
<edge from-layer="373" from-port="0" to-layer="374" to-port="1" />
<edge from-layer="374" from-port="2" to-layer="376" to-port="0" />
<edge from-layer="375" from-port="0" to-layer="376" to-port="1" />
<edge from-layer="376" from-port="2" to-layer="377" to-port="0" />
<edge from-layer="377" from-port="1" to-layer="379" to-port="0" />
<edge from-layer="378" from-port="0" to-layer="379" to-port="1" />
<edge from-layer="379" from-port="2" to-layer="381" to-port="0" />
<edge from-layer="380" from-port="0" to-layer="381" to-port="1" />
<edge from-layer="381" from-port="2" to-layer="382" to-port="0" />
<edge from-layer="382" from-port="1" to-layer="384" to-port="0" />
<edge from-layer="383" from-port="0" to-layer="384" to-port="1" />
<edge from-layer="384" from-port="2" to-layer="386" to-port="0" />
<edge from-layer="385" from-port="0" to-layer="386" to-port="1" />
<edge from-layer="386" from-port="2" to-layer="387" to-port="1" />
<edge from-layer="387" from-port="2" to-layer="389" to-port="0" />
<edge from-layer="388" from-port="0" to-layer="389" to-port="1" />
<edge from-layer="389" from-port="2" to-layer="481" to-port="1" />
<edge from-layer="390" from-port="0" to-layer="391" to-port="1" />
<edge from-layer="391" from-port="2" to-layer="393" to-port="0" />
<edge from-layer="392" from-port="0" to-layer="393" to-port="1" />
<edge from-layer="393" from-port="2" to-layer="394" to-port="0" />
<edge from-layer="394" from-port="1" to-layer="396" to-port="0" />
<edge from-layer="395" from-port="0" to-layer="396" to-port="1" />
<edge from-layer="396" from-port="2" to-layer="398" to-port="0" />
<edge from-layer="397" from-port="0" to-layer="398" to-port="1" />
<edge from-layer="398" from-port="2" to-layer="399" to-port="0" />
<edge from-layer="399" from-port="2" to-layer="401" to-port="0" />
<edge from-layer="400" from-port="0" to-layer="401" to-port="1" />
<edge from-layer="401" from-port="2" to-layer="403" to-port="0" />
<edge from-layer="402" from-port="0" to-layer="403" to-port="1" />
<edge from-layer="403" from-port="2" to-layer="404" to-port="0" />
<edge from-layer="404" from-port="1" to-layer="407" to-port="0" />
<edge from-layer="405" from-port="0" to-layer="407" to-port="1" />
<edge from-layer="406" from-port="0" to-layer="407" to-port="2" />
<edge from-layer="407" from-port="4" to-layer="409" to-port="0" />
<edge from-layer="407" from-port="4" to-layer="433" to-port="0" />
<edge from-layer="407" from-port="3" to-layer="434" to-port="0" />
<edge from-layer="407" from-port="4" to-layer="434" to-port="1" />
<edge from-layer="408" from-port="0" to-layer="409" to-port="1" />
<edge from-layer="409" from-port="2" to-layer="411" to-port="0" />
<edge from-layer="410" from-port="0" to-layer="411" to-port="1" />
<edge from-layer="411" from-port="2" to-layer="412" to-port="0" />
<edge from-layer="412" from-port="1" to-layer="414" to-port="0" />
<edge from-layer="413" from-port="0" to-layer="414" to-port="1" />
<edge from-layer="414" from-port="2" to-layer="416" to-port="0" />
<edge from-layer="415" from-port="0" to-layer="416" to-port="1" />
<edge from-layer="416" from-port="2" to-layer="417" to-port="0" />
<edge from-layer="417" from-port="1" to-layer="419" to-port="0" />
<edge from-layer="418" from-port="0" to-layer="419" to-port="1" />
<edge from-layer="419" from-port="2" to-layer="421" to-port="0" />
<edge from-layer="420" from-port="0" to-layer="421" to-port="1" />
<edge from-layer="421" from-port="2" to-layer="422" to-port="0" />
<edge from-layer="422" from-port="1" to-layer="424" to-port="0" />
<edge from-layer="423" from-port="0" to-layer="424" to-port="1" />
<edge from-layer="424" from-port="2" to-layer="426" to-port="0" />
<edge from-layer="425" from-port="0" to-layer="426" to-port="1" />
<edge from-layer="426" from-port="2" to-layer="427" to-port="0" />
<edge from-layer="427" from-port="1" to-layer="429" to-port="0" />
<edge from-layer="428" from-port="0" to-layer="429" to-port="1" />
<edge from-layer="429" from-port="2" to-layer="431" to-port="0" />
<edge from-layer="430" from-port="0" to-layer="431" to-port="1" />
<edge from-layer="431" from-port="2" to-layer="432" to-port="0" />
<edge from-layer="432" from-port="1" to-layer="433" to-port="1" />
<edge from-layer="433" from-port="2" to-layer="434" to-port="2" />
<edge from-layer="434" from-port="3" to-layer="436" to-port="0" />
<edge from-layer="435" from-port="0" to-layer="436" to-port="1" />
<edge from-layer="436" from-port="2" to-layer="438" to-port="0" />
<edge from-layer="437" from-port="0" to-layer="438" to-port="1" />
<edge from-layer="438" from-port="2" to-layer="439" to-port="0" />
<edge from-layer="439" from-port="1" to-layer="441" to-port="0" />
<edge from-layer="439" from-port="1" to-layer="455" to-port="0" />
<edge from-layer="440" from-port="0" to-layer="441" to-port="1" />
<edge from-layer="441" from-port="2" to-layer="443" to-port="0" />
<edge from-layer="442" from-port="0" to-layer="443" to-port="1" />
<edge from-layer="443" from-port="2" to-layer="444" to-port="0" />
<edge from-layer="444" from-port="1" to-layer="446" to-port="0" />
<edge from-layer="445" from-port="0" to-layer="446" to-port="1" />
<edge from-layer="446" from-port="2" to-layer="448" to-port="0" />
<edge from-layer="447" from-port="0" to-layer="448" to-port="1" />
<edge from-layer="448" from-port="2" to-layer="449" to-port="0" />
<edge from-layer="449" from-port="1" to-layer="451" to-port="0" />
<edge from-layer="450" from-port="0" to-layer="451" to-port="1" />
<edge from-layer="451" from-port="2" to-layer="453" to-port="0" />
<edge from-layer="452" from-port="0" to-layer="453" to-port="1" />
<edge from-layer="453" from-port="2" to-layer="478" to-port="0" />
<edge from-layer="454" from-port="0" to-layer="455" to-port="1" />
<edge from-layer="455" from-port="2" to-layer="457" to-port="0" />
<edge from-layer="456" from-port="0" to-layer="457" to-port="1" />
<edge from-layer="457" from-port="2" to-layer="458" to-port="0" />
<edge from-layer="458" from-port="1" to-layer="460" to-port="0" />
<edge from-layer="459" from-port="0" to-layer="460" to-port="1" />
<edge from-layer="460" from-port="2" to-layer="462" to-port="0" />
<edge from-layer="461" from-port="0" to-layer="462" to-port="1" />
<edge from-layer="462" from-port="2" to-layer="463" to-port="0" />
<edge from-layer="463" from-port="1" to-layer="465" to-port="0" />
<edge from-layer="464" from-port="0" to-layer="465" to-port="1" />
<edge from-layer="465" from-port="2" to-layer="467" to-port="0" />
<edge from-layer="466" from-port="0" to-layer="467" to-port="1" />
<edge from-layer="467" from-port="2" to-layer="468" to-port="0" />
<edge from-layer="468" from-port="1" to-layer="470" to-port="0" />
<edge from-layer="469" from-port="0" to-layer="470" to-port="1" />
<edge from-layer="470" from-port="2" to-layer="472" to-port="0" />
<edge from-layer="471" from-port="0" to-layer="472" to-port="1" />
<edge from-layer="472" from-port="2" to-layer="473" to-port="0" />
<edge from-layer="473" from-port="1" to-layer="475" to-port="0" />
<edge from-layer="474" from-port="0" to-layer="475" to-port="1" />
<edge from-layer="475" from-port="2" to-layer="477" to-port="0" />
<edge from-layer="476" from-port="0" to-layer="477" to-port="1" />
<edge from-layer="477" from-port="2" to-layer="478" to-port="1" />
<edge from-layer="478" from-port="2" to-layer="480" to-port="0" />
<edge from-layer="479" from-port="0" to-layer="480" to-port="1" />
<edge from-layer="480" from-port="2" to-layer="481" to-port="2" />
<edge from-layer="481" from-port="3" to-layer="484" to-port="0" />
<edge from-layer="482" from-port="0" to-layer="484" to-port="1" />
<edge from-layer="482" from-port="0" to-layer="557" to-port="1" />
<edge from-layer="482" from-port="0" to-layer="496" to-port="1" />
<edge from-layer="482" from-port="0" to-layer="505" to-port="1" />
<edge from-layer="483" from-port="0" to-layer="484" to-port="2" />
<edge from-layer="484" from-port="3" to-layer="486" to-port="0" />
<edge from-layer="484" from-port="4" to-layer="511" to-port="0" />
<edge from-layer="485" from-port="0" to-layer="486" to-port="1" />
<edge from-layer="486" from-port="2" to-layer="488" to-port="0" />
<edge from-layer="487" from-port="0" to-layer="488" to-port="1" />
<edge from-layer="488" from-port="2" to-layer="489" to-port="0" />
<edge from-layer="489" from-port="1" to-layer="491" to-port="0" />
<edge from-layer="490" from-port="0" to-layer="491" to-port="1" />
<edge from-layer="491" from-port="2" to-layer="493" to-port="0" />
<edge from-layer="492" from-port="0" to-layer="493" to-port="1" />
<edge from-layer="493" from-port="2" to-layer="494" to-port="0" />
<edge from-layer="493" from-port="2" to-layer="505" to-port="0" />
<edge from-layer="494" from-port="1" to-layer="496" to-port="0" />
<edge from-layer="495" from-port="0" to-layer="500" to-port="1" />
<edge from-layer="495" from-port="0" to-layer="496" to-port="2" />
<edge from-layer="496" from-port="3" to-layer="499" to-port="0" />
<edge from-layer="496" from-port="3" to-layer="498" to-port="0" />
<edge from-layer="497" from-port="0" to-layer="498" to-port="1" />
<edge from-layer="497" from-port="0" to-layer="499" to-port="1" />
<edge from-layer="498" from-port="2" to-layer="502" to-port="0" />
<edge from-layer="499" from-port="2" to-layer="500" to-port="0" />
<edge from-layer="500" from-port="2" to-layer="501" to-port="0" />
<edge from-layer="501" from-port="1" to-layer="502" to-port="1" />
<edge from-layer="502" from-port="2" to-layer="504" to-port="0" />
<edge from-layer="503" from-port="0" to-layer="504" to-port="1" />
<edge from-layer="504" from-port="2" to-layer="505" to-port="2" />
<edge from-layer="505" from-port="4" to-layer="507" to-port="1" />
<edge from-layer="505" from-port="3" to-layer="506" to-port="1" />
<edge from-layer="506" from-port="2" to-layer="508" to-port="0" />
<edge from-layer="507" from-port="2" to-layer="508" to-port="1" />
<edge from-layer="508" from-port="2" to-layer="510" to-port="0" />
<edge from-layer="509" from-port="0" to-layer="510" to-port="1" />
<edge from-layer="510" from-port="2" to-layer="512" to-port="0" />
<edge from-layer="511" from-port="1" to-layer="512" to-port="1" />
<edge from-layer="512" from-port="2" to-layer="514" to-port="0" />
<edge from-layer="513" from-port="0" to-layer="514" to-port="1" />
<edge from-layer="514" from-port="2" to-layer="517" to-port="0" />
<edge from-layer="515" from-port="0" to-layer="517" to-port="1" />
<edge from-layer="515" from-port="0" to-layer="522" to-port="1" />
<edge from-layer="516" from-port="0" to-layer="517" to-port="2" />
<edge from-layer="517" from-port="4" to-layer="541" to-port="0" />
<edge from-layer="517" from-port="4" to-layer="519" to-port="0" />
<edge from-layer="517" from-port="3" to-layer="526" to-port="0" />
<edge from-layer="518" from-port="0" to-layer="519" to-port="1" />
<edge from-layer="519" from-port="2" to-layer="521" to-port="0" />
<edge from-layer="520" from-port="0" to-layer="521" to-port="1" />
<edge from-layer="520" from-port="0" to-layer="544" to-port="1" />
<edge from-layer="521" from-port="3" to-layer="522" to-port="0" />
<edge from-layer="522" from-port="2" to-layer="539" to-port="0" />
<edge from-layer="522" from-port="2" to-layer="524" to-port="0" />
<edge from-layer="523" from-port="0" to-layer="524" to-port="1" />
<edge from-layer="524" from-port="2" to-layer="525" to-port="0" />
<edge from-layer="525" from-port="1" to-layer="526" to-port="1" />
<edge from-layer="526" from-port="2" to-layer="527" to-port="0" />
<edge from-layer="526" from-port="2" to-layer="537" to-port="0" />
<edge from-layer="527" from-port="1" to-layer="532" to-port="0" />
<edge from-layer="528" from-port="0" to-layer="532" to-port="1" />
<edge from-layer="529" from-port="0" to-layer="532" to-port="2" />
<edge from-layer="530" from-port="0" to-layer="532" to-port="3" />
<edge from-layer="531" from-port="0" to-layer="532" to-port="4" />
<edge from-layer="532" from-port="5" to-layer="534" to-port="0" />
<edge from-layer="533" from-port="0" to-layer="534" to-port="1" />
<edge from-layer="534" from-port="2" to-layer="536" to-port="0" />
<edge from-layer="535" from-port="0" to-layer="536" to-port="1" />
<edge from-layer="536" from-port="2" to-layer="537" to-port="1" />
<edge from-layer="537" from-port="2" to-layer="563" to-port="0" />
<edge from-layer="538" from-port="0" to-layer="539" to-port="1" />
<edge from-layer="539" from-port="2" to-layer="540" to-port="0" />
<edge from-layer="540" from-port="1" to-layer="541" to-port="1" />
<edge from-layer="541" from-port="2" to-layer="543" to-port="0" />
<edge from-layer="542" from-port="0" to-layer="543" to-port="1" />
<edge from-layer="543" from-port="2" to-layer="544" to-port="0" />
<edge from-layer="544" from-port="3" to-layer="546" to-port="0" />
<edge from-layer="544" from-port="3" to-layer="571" to-port="0" />
<edge from-layer="544" from-port="2" to-layer="569" to-port="0" />
<edge from-layer="545" from-port="0" to-layer="546" to-port="1" />
<edge from-layer="546" from-port="2" to-layer="547" to-port="0" />
<edge from-layer="547" from-port="1" to-layer="548" to-port="0" />
<edge from-layer="548" from-port="1" to-layer="561" to-port="0" />
<edge from-layer="549" from-port="0" to-layer="555" to-port="0" />
<edge from-layer="550" from-port="0" to-layer="552" to-port="1" />
<edge from-layer="551" from-port="0" to-layer="552" to-port="2" />
<edge from-layer="552" from-port="3" to-layer="553" to-port="0" />
<edge from-layer="553" from-port="1" to-layer="555" to-port="1" />
<edge from-layer="554" from-port="0" to-layer="555" to-port="2" />
<edge from-layer="555" from-port="3" to-layer="556" to-port="0" />
<edge from-layer="556" from-port="1" to-layer="557" to-port="0" />
<edge from-layer="557" from-port="2" to-layer="558" to-port="0" />
<edge from-layer="558" from-port="1" to-layer="560" to-port="0" />
<edge from-layer="559" from-port="0" to-layer="560" to-port="1" />
<edge from-layer="560" from-port="2" to-layer="561" to-port="1" />
<edge from-layer="561" from-port="2" to-layer="563" to-port="1" />
<edge from-layer="562" from-port="0" to-layer="563" to-port="2" />
<edge from-layer="563" from-port="3" to-layer="565" to-port="0" />
<edge from-layer="564" from-port="0" to-layer="565" to-port="1" />
<edge from-layer="565" from-port="2" to-layer="567" to-port="0" />
<edge from-layer="566" from-port="0" to-layer="567" to-port="1" />
<edge from-layer="567" from-port="2" to-layer="574" to-port="0" />
<edge from-layer="568" from-port="0" to-layer="569" to-port="1" />
<edge from-layer="568" from-port="0" to-layer="572" to-port="1" />
<edge from-layer="569" from-port="2" to-layer="574" to-port="1" />
<edge from-layer="570" from-port="0" to-layer="571" to-port="1" />
<edge from-layer="571" from-port="2" to-layer="572" to-port="0" />
<edge from-layer="572" from-port="2" to-layer="573" to-port="0" />
<edge from-layer="573" from-port="1" to-layer="574" to-port="2" />
<edge from-layer="574" from-port="3" to-layer="575" to-port="0" />
</edges>
<rt_info>
<Runtime_version value="2024.4.0-16579-c3152d32c9c-releases/2024/4" />
<conversion_parameters>
<framework value="pytorch" />
<is_python_object value="True" />
</conversion_parameters>
<model_info>
<iou_threshold value="0.7" />
<labels value="box hand oring_100_b oring_40_b oring_d105 oring_d300_b oring_l1150 oring_l380_b oring_l500 oring_l600 oring_l650_b ring_40mm ring_45mm ring_58mm schraube_sk_m10x25 schraube_sk_m10x30 schraube_sk_m10x45 schraube_sk_m12x20 schraube_sk_m12x50 table" />
<model_type value="YOLOv8" />
<pad_value value="114" />
<resize_type value="fit_to_window_letterbox" />
<reverse_input_channels value="YES" />
<scale_values value="255" />
</model_info>
</rt_info>
</net>